@article {Echihabi20222005,
	title = {Hercules Against Data Series Similarity Search},
	journal = {Proceedings of the VLDB Endowment},
	volume = {15},
	number = {10},
	year = {2022},
	note = {cited By 3},
	pages = {2005-2018},
	abstract = {We propose Hercules, a parallel tree-based technique for exact similarity search on massive disk-based data series collections. We present novel index construction and query answering algorithms that leverage different summarization techniques, carefully schedule costly operations, optimize memory and disk accesses, and exploit the multi-threading and SIMD capabilities of modern hardware to perform CPU-intensive calculations. We demonstrate the superiority and robustness of Hercules with an extensive experimental evaluation against state-of-the-art techniques, using many synthetic and real datasets, and query workloads of varying difficulty. The results show that Hercules performs up to one order of magnitude faster than the best competitor (which is not always the same). Moreover, Hercules is the only index that outperforms the optimized scan on all scenarios, including the hard query workloads on disk-based datasets. {\textcopyright} 2022, VLDB Endowment., All rights reserved.},
	keywords = {CPU-intensive, Data series, Disk-based, Exact similarity searches, Experimental evaluation, Index construction, Multi-threading, Query answering, Similarity search, Tree-based, Trees (mathematics)},
	doi = {10.14778/3547305.3547308},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132784935\&doi=10.14778\%2f3547305.3547308\&partnerID=40\&md5=539332f4b18822ebf450dd3c3f5fda5d},
	author = {Echihabi, K. and Fatourou, P. and Zoumpatianos, K. and Palpanas, T. and Benbrahim, H.}
}
@article {Ouaddi2022205,
	title = {Heuristic based on iterative exact method for multi-tour dynamic vehicle routing problem with overtime},
	journal = {International Journal of Logistics Systems and Management},
	volume = {41},
	number = {1-2},
	year = {2022},
	note = {cited By 0},
	pages = {205-224},
	abstract = {In the last two decades, the DVRP has received a very particular interest from researchers. Because of its great utility in modern transport systems, the DVRP is now a very motivating and still attractive line of research for new studies. The complexity of this problem comes from the fact that it belongs to the VRP family in addition to the dynamism of its components. In this article, a very little studied variant of the DVRP is dealt with. This is the multi-tour DVRP with overtime (MTDVRPOT). We treat this problem from a multi-objective point of view, based on a bi-objective mathematical modelling. The first objective is to minimise the total travelled distance, while the second objective is to minimise to maximal performed overtime. A heuristic based on the iterative exact method was proposed to solve this problem. Its principle is to divide the working day into time periods and resolve iteratively the mathematical models. Each mathematical model corresponds to one subproblem of one time period. Copyright {\textcopyright} 2022 Inderscience Enterprises Ltd.},
	doi = {10.1504/IJLSM.2022.120999},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125744703\&doi=10.1504\%2fIJLSM.2022.120999\&partnerID=40\&md5=57f923c1d5d485989c02ebc34053a4c1},
	author = {Ouaddi, K. and Benadada, Y. and Mhada, F.-Z.}
}
@article {NaitMalek2022,
	title = {A Hybrid Approach for State-of-Charge Forecasting in Battery-Powered Electric Vehicles},
	journal = {Sustainability (Switzerland)},
	volume = {14},
	number = {16},
	year = {2022},
	note = {cited By 0},
	abstract = {Nowadays, electric vehicles (EV) are increasingly penetrating the transportation roads in most countries worldwide. Many efforts are oriented toward the deployment of the EVs infrastructures, including those dedicated to intelligent transportation and electro-mobility as well. For instance, many Moroccan organizations are collaborating to deploy charging stations in mostly all Moroccan cities. Furthermore, in Morocco, EVs are tax-free, and their users can charge for free their vehicles in any station. However, customers are still worried by the driving range of EVs. For instance, a new driving style is needed to increase the driving range of their EV, which is not easy in most cases. Therefore, the need for a companion system that helps in adopting a suitable driving style arise. The driving range depends mainly on the battery{\textquoteright}s capacity. Hence, knowing in advance the battery{\textquoteright}s state-of-charge (SoC) could help in computing the remaining driving range. In this paper, a battery SoC forecasting method is introduced and tested in a real case scenario on Rabat-Sal{\'e}-K{\'e}nitra urban roads using a Twizy EV. Results show that this method is able to forecast the SoC up to 180 s ahead with minimal errors and low computational overhead, making it more suitable for deployment in in-vehicle embedded systems. {\textcopyright} 2022 by the authors.},
	keywords = {electric vehicle, forecasting method, Morocco, transportation},
	doi = {10.3390/su14169993},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137735443\&doi=10.3390\%2fsu14169993\&partnerID=40\&md5=95a2dbf1fda5d9cc89e011adc1137835},
	author = {NaitMalek, Y. and Najib, M. and Lahlou, A. and Bakhouya, M. and Gaber, J. and Essaaidi, M.}
}
@article {Nakach20221043,
	title = {Hybrid deep boosting ensembles for histopathological breast cancer classification},
	journal = {Health and Technology},
	volume = {12},
	number = {6},
	year = {2022},
	note = {cited By 0},
	pages = {1043-1060},
	abstract = {Purpose: Breast cancer (BC) is the most common diagnosed cancer type and one of the top leading causes of death in women worldwide. This paper aims to investigate ensemble learning and transfer learning for binary classification of BC histological images over the four-magnification factor (MF) values of the BreakHis dataset: 40X, 100X, 200X, and 400X. Methods: The proposed homogeneous ensembles are implemented using a hybrid architecture that combines: (1) three of the most recent deep learning (DL) techniques for feature extraction: DenseNet_201, MobileNet_V2, and Inception_V3, and (2) four of the most popular boosting methods for classification: AdaBoost (ADB), Gradient Boosting Machine (GBM), LightGBM (LGBM) and XGBoost (XGB) with Decision Tree (DT) as a base learner. The study evaluated and compared: (1) a set of boosting ensembles designed with the same hybrid architecture and different number of trees (50, 100, 150 and 200); (2) different boosting methods, and (3) the single DT classifier with the best boosting ensembles. The empirical evaluations used: four classification performance criteria (accuracy, recall, precision and F1-score), the fivefold cross-validation, Scott Knott statistical test to select the best cluster of the outperforming models, and Borda Count voting system to rank the best performing ones. Results: The best boosting ensemble achieved an accuracy value of 92.52\% and it was constructed using XGB with 200 trees and Inception_V3 as feature extractor (FE). Conclusions: The results showed the potential of combining DL techniques for feature extraction and boosting ensembles to classify BC in malignant and benign tumors. {\textcopyright} 2022, The Author(s) under exclusive licence to International Union for Physical and Engineering Sciences in Medicine (IUPESM).},
	doi = {10.1007/s12553-022-00709-z},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141693839\&doi=10.1007\%2fs12553-022-00709-z\&partnerID=40\&md5=9e968402920eaed7fb6aaa79efc60f1a},
	author = {Nakach, F.-Z. and Zerouaoui, H. and Idri, A.}
}
@article {Mikram2022167,
	title = {Hybrid Deep Learning Models for Diabetic Retinopathy Classification},
	journal = {Lecture Notes in Networks and Systems},
	volume = {489 LNNS},
	year = {2022},
	note = {cited By 0},
	pages = {167-178},
	abstract = {Diabetic retinopathy is a complication of diabetes in the eye. This disease is caused by the damage of the blood vessels of the back of eye (i.e., retina). Unfortunately, diabetic retinopathy can cause several symptoms, the most serious of which is complete vision loss. Indeed, the detection of diabetic retinopathy is a time-consuming manual process that requires a qualified clinician to examine and evaluate digital color photographs of the retina{\textquoteright}s fundus. Currently, several researches are looking to employ artificial intelligence techniques, especially the Deep Learning, to deal with this issue. In this paper, we study some hybrid models for diabetic retinopathy severity classification in distributed and non-distributed environments. The studied models perform two main tasks: deep feature extraction and then classification of diabetic retinopathy according to its severity. The models were trained and validated on a publicly available dataset of 80,000 images and they achieved an accuracy of 80.7\%. {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
	doi = {10.1007/978-3-031-07969-6_13},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135078332\&doi=10.1007\%2f978-3-031-07969-6_13\&partnerID=40\&md5=bf1f98b5263465c335e38e77dda6ea10},
	author = {Mikram, M. and Moujahdi, C. and Rhanoui, M. and Meddad, M. and Khallout, A.}
}
@article {Nesmaoui2022517,
	title = {A Hybrid Machine Learning Method for Movies Recommendation},
	journal = {Lecture Notes in Networks and Systems},
	volume = {489 LNNS},
	year = {2022},
	note = {cited By 0},
	pages = {517-528},
	abstract = {Recently, the application of machine learning algorithms is very useful in marketing by companies nowadays. Overall, it has become a big factor on the companies success and growth in term of the number of users or revenues, since it helps to suggest the right content to the right people in an easy way without going through a long complicated process to choose an element in a list of millions elements. This research has a goal of evaluating several recommending mining algorithms in machine learning by adopting a model that combines the content-based (constrained system to people) and collaborative approach and compares it with a paralleled algorithm, and we assume that can help to get the right recommendations to users. The model{\textquoteright}s results show that it can positively solve this issue and help users to find the right content that they want to watch, and also predict if they like the new trending content. {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
	doi = {10.1007/978-3-031-07969-6_39},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135078218\&doi=10.1007\%2f978-3-031-07969-6_39\&partnerID=40\&md5=dbd02d96c7421f65df2336099a52ad45},
	author = {Nesmaoui, R. and Louhichi, M. and Lazaar, M.}
}
@article {Rhanoui20222809,
	title = {A hybrid recommender system for patron driven library acquisition and weeding},
	journal = {Journal of King Saud University - Computer and Information Sciences},
	volume = {34},
	number = {6},
	year = {2022},
	note = {cited By 2},
	pages = {2809-2819},
	abstract = {Nowadays the explosion of information sources has shaped how library users access information and provide feedback on their preferences. Therefore, faced with this explosion and the blossoming of digital libraries, modern libraries must take up the challenge of meeting the needs of their users and considering their opinions and preferences in order to offer them adequate resources and henceforth eliminate those that are unsatisfactory. Almost all library recommender systems aim to provide users with items of interest to them. However, despite its definite interest, the staff-oriented adaptation and application of this revolutionary technique to the collection development process is still in an embryonic stage. We propose a patron-driven hybrid library recommender system that uses machine learning techniques to recommend and assist in the acquisition and weeding decision-making operations by extracting and analyzing users{\textquoteright} opinions and ratings. The recommender system is applied and validated in a real national library case using Amazon{\textquoteright}s digital library and the library{\textquoteright}s catalog as a data source. {\textcopyright} 2020 The Authors},
	doi = {10.1016/j.jksuci.2020.10.017},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096428211\&doi=10.1016\%2fj.jksuci.2020.10.017\&partnerID=40\&md5=49af7074b1295a09ce952c01fd4c7f92},
	author = {Rhanoui, M. and Mikram, M. and Yousfi, S. and Kasmi, A. and Zoubeidi, N.}
}
@article {Bellahcen2021835,
	title = {Hand Pose Estimation Based on Deep Learning},
	journal = {Lecture Notes in Networks and Systems},
	volume = {183},
	year = {2021},
	note = {cited By 0},
	pages = {835-843},
	abstract = {The problem of 3D hand pose estimation has aroused a lot of attention in computer vision community for long time. It has been studied in computer vision for decades, as it plays a significant role in human-computer interaction such as virtual/augmented reality applications, computer graphics and robotics. Because of the practical value associated with this topic, it regained huge research interests recently due to the emergence of commodity depth cameras. But despite the recent progress in this field, robust and accurate hand pose estimation remains a challenging task due to the large pose variations, the high dimension of hand motion, the highly articulated structure, significant self-occlusion, viewpoint changes and data noises. Besides, real time performance is often desired in many applications. In this work we have tried to make a comparative study of different methods of hand pose estimation introduced recently, we worked on the implementation of our method based on Deep Learning to solve this problem. {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
	doi = {10.1007/978-3-030-66840-2_63},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102614632\&doi=10.1007\%2f978-3-030-66840-2_63\&partnerID=40\&md5=815c9baf2e19d68630b5f8ef594118d3},
	author = {Bellahcen, M. and Abdellaoui Alaoui, E.A. and Koum{\'e}tio T{\'e}kouabou, S.C.}
}
@article {Hmami2021632,
	title = {Handling Sudden and Recurrent Changes in Business Process Variability: Change Mining based Approach},
	journal = {International Journal of Advanced Computer Science and Applications},
	volume = {12},
	number = {4},
	year = {2021},
	note = {cited By 1},
	pages = {632-640},
	abstract = {Changes are random and unavoidable actions in business processes, and they are frequently overlooked by managers, especially when managers need to deal with a collection of process variants. Because they must manage every single business process variant separately which is a timeconsuming task. They exist many approaches to manage a collection of business process and deal with variability. Such as process mining approaches, that can discover configurable business process models, enhancing them and verify conformity automatically. However, those approaches do not cover changes and concept drift that occur over time. This paper presents a novel change mining approach that discovers changes in a collection of event logs and reports them on a change log. This change log can be analyzed to determine whether the changes are sudden or recurrent and recommend afterward some improvement to the configurable process model. {\textcopyright} 2021. All Rights Reserved.},
	keywords = {Business Process, Change logs, Change mining, Component, Concept drifts, Configurable process models, Data mining, Managers, Process mining, Process variants, Sudden change, Variability},
	doi = {10.14569/IJACSA.2021.0120479},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105804608\&doi=10.14569\%2fIJACSA.2021.0120479\&partnerID=40\&md5=826c6a1f82674abf6a9a671f65401022},
	author = {Hmami, A. and Fredj, M. and Sba{\"\i}, H.}
}
@conference {Abnane20211,
	title = {Heterogeneous ensemble imputation for software development effort estimation},
	booktitle = {PROMISE 2021 - Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering, co-located with ESEC/FSE 2021},
	year = {2021},
	note = {cited By 1},
	pages = {1-10},
	abstract = {Choosing the appropriate Missing Data (MD) imputation technique for a given Software development effort estimation (SDEE) technique is not a trivial task. In fact, the impact of the MD imputation on the estimation output depends on the dataset and the SDEE technique used and there is no best imputation technique in all contexts. Thus, an attractive solution is to use more than one single imputation technique and combine their results for a final imputation outcome. This concept is called ensemble imputation and can help to significantly improve the estimation accuracy. This paper develops and evaluates a heterogeneous ensemble imputation whose members were the four single imputation techniques: K-Nearest Neighbors (KNN), Expectation Maximization (EM), Support Vector Regression (SVR), and Decision Trees (DT). The impact of the ensemble imputation was evaluated and compared with those of the four single imputation techniques on the accuracy measured in terms of the standardized accuracy criterion of four SDEE techniques: Case Based Reasoning (CBR), Multi-Layers Perceptron (MLP), Support Vector Regression (SVR) and Reduced Error Pruning Tree (REPTree). The Wilcoxon statistical test was also performed in order to assess whether the results are significant. All the empirical evaluations were carried out over the six datasets, namely, ISBSG, China, COCOMO81, Desharnais, Kemerer, and Miyazaki. Results show that the use of heterogeneous ensemble-based imputation instead single imputation significantly improved the accuracy of the four SDEE techniques. Indeed, the ensemble imputation technique was ranked either first or second in all contexts. {\textcopyright} 2021 ACM.},
	keywords = {Case based reasoning, Casebased reasonings (CBR), Decision trees, Empirical evaluations, Expectation Maximization, Forestry, Heterogeneous ensembles, Imputation techniques, K nearest neighbor (KNN), Maximum principle, Multilayer neural networks, Nearest neighbor search, Predictive analytics, Software design, Software development effort, Support vector regression, Support vector regression (SVR)},
	doi = {10.1145/3475960.3475984},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113586361\&doi=10.1145\%2f3475960.3475984\&partnerID=40\&md5=7bd6bbfb801a84cd7694e3713d2d0081},
	author = {Abnane, I. and Idri, A. and Hosni, M. and Abran, A.}
}
@article {Faizi2021548,
	title = {Higher Education Students{\textquoteright} Perceptions Towards Using Facebook as a Learning Platform},
	journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {13117 LNCS},
	year = {2021},
	note = {cited By 1},
	pages = {548-554},
	abstract = {Given the ongoing debate among educators regarding the effect of social networks on education, our aim in this article is to explore the perceptions of students towards using Facebook as a learning environment. In this vein, on the basis of the survey we carried out among university students, it was revealed that 87.4\% of the informants resort to this Web-based community to improve their learning. Facebook has, actually, been reported to provide students with an ideal opportunity to access a plethora of learning resources and all class-related information and activities. It also allows them to discuss different topics with classmates and peers and enables them to seek help on learning problems they encounter. Despite the significant role that Facebook plays in boosting students{\textquoteright} learning experience, 72.3\% of the subjects noted that no interaction occurs with teachers on this platform. Facebook might, thus, be considered to be more useful for informal rather than formal learning. {\textcopyright} 2021, Springer Nature Switzerland AG.},
	keywords = {Computer aided instruction, e-learning, Facebook, High educations, Higher education students, Learning environments, Learning platform, Learning problem, Learning resource, Online systems, Social networking (online), Student perceptions, Students, Surveys, University students, Web-based communities},
	doi = {10.1007/978-3-030-91540-7_56},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121624980\&doi=10.1007\%2f978-3-030-91540-7_56\&partnerID=40\&md5=90703fa8bfd08b30f2af977163ab4fc8},
	author = {Faizi, R. and Rudneva, M.}
}
@article {ElKhamlichi20211078,
	title = {High-gain and broadband SIW cavity-backed slots antenna for X-band applications},
	journal = {International Journal of Microwave and Wireless Technologies},
	volume = {13},
	number = {10},
	year = {2021},
	note = {cited By 1},
	pages = {1078-1085},
	abstract = {Substrate-integrated waveguide (SIW) technology has recently drawn attention to its benefits in the microwave field, such as integration in planar microwave circuits, low manufacturing cost, and high-quality factor compared to other technologies. In this paper, a broadband and high gain SIW cavity-backed L-shaped slot antenna structure has been designed and made for X-band applications. Three pairs of L-shaped half-wave resonators are placed on the lower wall of the cavity (backed-slots) to further expand bandwidth and improve gain. The final antenna designed operates on a band ranging from 9.4 to 10.5 GHz with a bandwidth of 11\%. Moreover, the gain reaches a value of 9.5 dBi. The final antenna is realized on a Rogers RT/Duroid 5870 substrate. The gain, the reflection coefficient, and the radiation patterns are measured and compared to the EM simulation results and a very good agreement is obtained. The proposed cavity-backed L-shaped slot antenna gives a good compromise between a high gain and a large bandwidth. Copyright {\textcopyright} The Author(s), 2021. Published by Cambridge University Press in association with the European Microwave Association.},
	keywords = {Acoustic resonators, Antenna structures, Bandwidth, Directional patterns (antenna), EM simulations, Half-wave resonators, High quality factors, Manufacturing cost, Microwave antennas, Microwave circuits, Microwave field, Planar microwave circuits, Slot antennas, Substrate integrated waveguide technologies, Substrate integrated waveguides, Substrates},
	doi = {10.1017/S1759078721000015},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100754004\&doi=10.1017\%2fS1759078721000015\&partnerID=40\&md5=f9e06e14d006d43b263d853a79e4a96f},
	author = {El Khamlichi, D. and Touhami, N.A. and Elhamadi, T. and Ali Ennasar, M.}
}
@conference {Fakhkhari2021,
	title = {A holistic nonlinear framework for developing a national eHealth vision based on Moroccan experience},
	booktitle = {ACM International Conference Proceeding Series},
	year = {2021},
	note = {cited By 0},
	abstract = {The implementation of the eHealth solution is a key issue for improving access, safety, quality, and the performance of healthcare delivery. Furthermore, in the face of the Covid-19 outbreak, healthcare services have recognized the importance of Information and Communication Technologies (ICT) for improving healthcare delivery. Hence, the development of an integrative national eHealth system becomes a challenge for healthcare systems and organizations to well benefit from the advantages and opportunities offered by eHealth solutions and provide healthcare services more efficiently and cost-effectively. This paper proposes a new framework for implementing a national eHealth vision based on a review of existing frameworks and the analysis of relevant national and international eHealth experiences. The proposed framework incorporates components required to develop, implement and sustain a national eHealth vision. {\textcopyright} 2021 ACM.},
	keywords = {E-health solutions, Ehealth, Framework, Healthcare delivery, Healthcare services, Information communication technology, Key Issues, National vision, Safety qualities, Vision based},
	doi = {10.1145/3454127.3457635},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120856177\&doi=10.1145\%2f3454127.3457635\&partnerID=40\&md5=b5fbb6b68765773db1415a0b4d10d6a4},
	author = {Fakhkhari, H. and Bounabat, B. and Gaizi, Z. and Fatemi, S. and Bennani, M. and Bakkali, R.}
}
@conference {ElOuassif2021352,
	title = {Homogeneous ensemble based support vector machine in breast cancer diagnosis},
	booktitle = {HEALTHINF 2021 - 14th International Conference on Health Informatics; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021},
	year = {2021},
	note = {cited By 5},
	pages = {352-360},
	abstract = {Breast Cancer (BC) is one of the most common forms of cancer and one of the leading causes of mortality among women. Hence, detecting and accurately diagnosing BC at an early stage remain a major factor for women{\textquoteright}s long-term survival. To this aim, numerous single techniques have been proposed and evaluated for BC classification. However, none of them proved to be suitable in all situations. Currently, ensemble methods have been widely investigated to help diagnosis BC and consists on generating one classification model by combining more than one single technique by means of a combination rule. This paper evaluates homogeneous ensembles whose members are four variants of the Support Vector Machine (SVM) classifier. The four SVM variants used four different kernels: Linear Kernel, Normalized Polynomial Kernel, Radial Basis Function Kernel, and Pearson VII function based Universal Kernel. A Multilayer Perceptron (MLP) classifier is used for combining the outputs of the base classifiers to produce a final decision. Four well-known available BC datasets are used from online repositories. The findings of this study suggest that: (1) ensembles provided a very promising performance compared to its base, and (2) there is no SVM ensemble with a combination of kernels that have better performance in all datasets. Copyright {\textcopyright} 2021 by SCITEPRESS {\textendash} Science and Technology Publications, Lda. All rights reserved},
	keywords = {Base classifiers, Biomedical engineering, Breast cancer diagnosis, Classification models, Combination rules, Computer aided diagnosis, Diseases, Medical informatics, Multilayer neural networks, Multilayer Perceptron (MLP) classifier, Online repositories, Polynomial kernels, Radial basis function kernels, Support vector machines},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103824221\&partnerID=40\&md5=2340dec93a42872a9ece0b6f6b9fccbc},
	author = {El Ouassif, B. and Idri, A. and Hosni, M.}
}
@conference {Ouardi2021790,
	title = {Hybrid Prototypical Networks Augmented by a Non-linear Classifier},
	booktitle = {International Conference on Enterprise Information Systems, ICEIS - Proceedings},
	volume = {1},
	year = {2021},
	note = {cited By 0},
	pages = {790-794},
	abstract = {Text classification is one of the most prolific domains in machine learning. Present in a raw format all around us in our daily life Starting from human to human communication mainly by the social networks apps, arriving at the human-machine interaction especially with chatbots, text is a rich source of information. However, despite the remarkable performances that deep learning achieves in this field, the cost in therm of the amount of data needed to train this model still considerably high, adding to that the need of retraining this model to learn every new task. Nevertheless, a new sub-field of machine learning has emerged, named meta-learning it targets the overcoming of those limitations, widely used for image-related tasks, it can also bring solutions to tasks associated with text. Starting from this perspective we proposed a hybrid architecture based on well-known prototypical networks consisting of adapting this model to text classification and augmenting it with a non-linear classifier. Copyright {\textcopyright} 2021 by SCITEPRESS {\textendash} Science and Technology Publications, Lda. All rights reserved.},
	keywords = {Chatbots, Classification (of information), Daily lives, Deep learning, Few-shot learning, Human communications, Human machine interaction, Learning systems, Machine-learning, Metalearning, Nonlinear classifiers, Sources of informations, Text classification, Text processing},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137962135\&partnerID=40\&md5=8d0e3e181cd871cde23a9553ea783fb2},
	author = {Ouardi, A.E. and Rhanoui, M. and Benlarabi, A. and Asri, B.E.}
}
@article {Afoudi2021,
	title = {Hybrid recommendation system combined content-based filtering and collaborative prediction using artificial neural network},
	journal = {Simulation Modelling Practice and Theory},
	volume = {113},
	year = {2021},
	note = {cited By 14},
	abstract = {Recommendation systems are information filtering tools that present items to users based on their preferences and behavior, for example, suggestions about scientific papers or music a user might like. Based on what we said and with the development of computer science that has started to take an interest in big data and how it is used to discover user interest, we have found a lot of research going on in the area of recommendation and there are powerful systems available. In the unsupervised learning domain, this paper introduces a novel method for creating a hybrid recommender framework that combines Collaborative Filtering with Content Based Approach and Self-Organizing Map neural network technique. By testing our system on a subset of the Movies Database, we demonstrate that our method outperforms state-of-the-art methods in terms of accuracy and precision, as well as improving the efficiency of the traditional Collaborative Filtering methodology. {\textcopyright} 2021 Elsevier B.V.},
	keywords = {Accuracy and precision, Collaborative filtering, Collaborative predictions, Conformal mapping, Content based filtering, Content-based approach, Hybrid recommendation, Recommender Systems, Scientific papers, Self organizing maps, Self-organizing map neural network, State-of-the-art methods, Well testing},
	doi = {10.1016/j.simpat.2021.102375},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112615681\&doi=10.1016\%2fj.simpat.2021.102375\&partnerID=40\&md5=6a08638f8df46e823320bf446b6eb978},
	author = {Afoudi, Y. and Lazaar, M. and Al Achhab, M.}
}
@conference {Trabelsi2021281,
	title = {Hybrid Recommendation Systems: A State of Art},
	booktitle = {International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE - Proceedings},
	volume = {2021-April},
	year = {2021},
	note = {cited By 0},
	pages = {281-288},
	abstract = {Recommendation systems have become more important and popular in many application areas such as music, movies, e-commerce, advertisement and social networks. Recommendation systems use either collaborative filtering, content-based filtering or hybrid filtering in order to propose items to users, and each type has its weaknesses and strengths. In this paper, we present the results of a literature review that focuses specifically on hybrid recommendation systems. The objective of this review is to identify the problems that hybrid filtering tends to solve and the different techniques used to this end. Copyright {\textcopyright} 2021 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved},
	keywords = {Application area, Collaborative filtering, Content based filtering, E- commerces, Hybrid filtering, Hybrid recommendation, Literature reviews, Recommendation problem, Recommender Systems, State of art, System use},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137960955\&partnerID=40\&md5=eae4312d0264db7b508c80e8414023e3},
	author = {Trabelsi, F.Z. and Khtira, A. and El Asri, B.}
}
@conference {Yousfi2020155,
	title = {HASSO: A highly-automated source selection and ordering system based on data quality factors},
	booktitle = {2020 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2020},
	year = {2020},
	note = {cited By 0},
	pages = {155-164},
	abstract = {Big data integration gives access to a large number of data sources through a unified user interface. Answers include high-quality data, medium-quality data, and low-quality data. Selecting a subset of high accurate and consistent data sources and ordering them appropriately is critical to obtain as many high-quality answers as possible right after querying few data sources. However, the process of selecting and ordering data sources can be quite complicated and can present several challenges. The main challenge faced during that process is identifying the most adequate data quality factors to consider. In this paper, we present HASSO, a Highly-Automated Source Selection and Ordering System based on data quality factors. To produce consistent and high accurate answers, HASSO identifies, for each data source, its domain, data consistency and data accuracy using the schema matches. To maximize the total number of complete and non-redundant answers returned right after querying a small number of data sources, HASSO orders data sources in terms of their data overlap and in a decreasing order of their overall coverage. Experimental results in real-world domains show that HASSO produces high-quality answers at high speed. {\textcopyright} 2020 IEEE.},
	keywords = {Data accuracy, Data consistency, Data integration, High quality data, Information systems, Information use, Low quality datum, Number of datum, Order systems, Real world domain, Source selection, User interfaces},
	doi = {10.1109/ICACSIS51025.2020.9263243},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099753285\&doi=10.1109\%2fICACSIS51025.2020.9263243\&partnerID=40\&md5=b3fbfb1a2a633f6f2b8dce8ca9bc392f},
	author = {Yousfi, A. and Yazidi, M.H.E. and Zellou, A.}
}
@article {Guermah2020300,
	title = {How can reasoning improve ontology-based context-aware system?},
	journal = {International Journal of Advanced Intelligence Paradigms},
	volume = {15},
	number = {3},
	year = {2020},
	note = {cited By 1},
	pages = {300-316},
	abstract = {Over the past two decades, the large evolution of software engineering, telecommunication and pervasive devices has lead to emergence of a new vision of development aiming at building systems to meet more complex and personalised needs known as context-aware systems. This type of systems is becoming the next computing paradigm in which infrastructure and services are sensitive to any change of the context, so that plays a crucial role to provide interactive intelligent environments. In parallel, contextual situation refers to a higher level of information inferred from different context data flow that can be extracted from physical and virtual sensors. The power of using situation is lies in their ability to provide a simple and comprehensible representation of context property, which preserve the services that manipulate them from the complexity of sensor readings, data transmission errors and inferencing activities. In this work, we aim to explore the added value of using ontology-based reasoning, focusing on first-order logic and fuzzy logic, to produce contextual situations. Copyright {\textcopyright} 2020 Inderscience Enterprises Ltd.},
	doi = {10.1504/IJAIP.2020.105824},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082202504\&doi=10.1504\%2fIJAIP.2020.105824\&partnerID=40\&md5=202a3b83c6a307a1c364213895e826ba},
	author = {Guermah, H. and Fissaa, T. and Guermah, B. and Hafiddi, H. and Nassar, M. and Kriouile, A.}
}
@article {RHANOUI2020,
	title = {A hybrid recommender system for patron driven library acquisition and weeding},
	journal = {Journal of King Saud University - Computer and Information Sciences},
	year = {2020},
	abstract = {Nowadays the explosion of information sources has shaped how library users access information and provide feedback on their preferences. Therefore, faced with this explosion and the blossoming of digital libraries, modern libraries must take up the challenge of meeting the needs of their users and considering their opinions and preferences in order to offer them adequate resources and henceforth eliminate those that are unsatisfactory. Almost all library recommender systems aim to provide users with items of interest to them. However, despite its definite interest, the staff-oriented adaptation and application of this revolutionary technique to the collection development process is still in an embryonic stage. We propose a patron-driven hybrid library recommender system that uses machine learning techniques to recommend and assist in the acquisition and weeding decision-making operations by extracting and analyzing users{\textquoteright} opinions and ratings. The recommender system is applied and validated in a real national library case using Amazon{\textquoteright}s digital library and the library{\textquoteright}s catalog as a data source.},
	keywords = {Acquisition, Library Management, Machine learning, Recommender Systems, Weeding},
	issn = {1319-1578},
	doi = {https://doi.org/10.1016/j.jksuci.2020.10.017},
	url = {https://www.sciencedirect.com/science/article/pii/S1319157820305103},
	author = {Maryem Rhanoui and Mounia Mikram and Siham Yousfi and Ayoub Kasmi and Naoufel Zoubeidi}
}
@conference {Bouabdellah2020,
	title = {Hybrid Very High Throughput Satellites: Potential, Challenges, and Research Directions},
	booktitle = {2020 8th International Conference on Communications and Networking, ComNet2020 - Proceedings},
	year = {2020},
	note = {cited By 4},
	abstract = {Hybrid terrestrial-satellite transmission systems have been among hottest spots in the wireless communication industry due to the high demand for global high data rates. In such systems, free-space optical (FSO) technology is advocated for assessing the feeder links (ground-satellite) in order to fulfill high data rates requirements and provide a larger coverage in terms of the connected number of users. This paper gives an overview of various components of very-high throughput hybrid terrestrial-satellite communication system with an FSO feeder link, and Ka-band multibeam RF channels for the satellite ground link. In this survey paper, we depict the main communication challenges in the FSO side such as pointing error, turbulence, cloud blockage, and also the multibeam RF side such as spectrum scarcity, inter-beam interference, and security. Based on these challenges we point out some potential research directions. {\textcopyright} 2020 IEEE.},
	keywords = {Free-space optical, High data rate, High throughput, Inter-beam interference, Pointing errors, Potential researches, Power control, Satellite communication systems, Satellite links, Satellite transmission, Satellites, Wireless communications},
	doi = {10.1109/ComNet47917.2020.9306099},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100003768\&doi=10.1109\%2fComNet47917.2020.9306099\&partnerID=40\&md5=ab22ef8fab218cbdde68b99793a394e3},
	author = {Bouabdellah, M. and Illi, E. and Bouanani, F.E. and Alouini, M.-S.}
}
@article {Bouzbita2019153,
	title = {Hidden Markov Model classifier for the adaptive ACS-TSP pheromone parameters},
	journal = {Studies in Computational Intelligence},
	volume = {774},
	year = {2019},
	note = {cited By 0},
	pages = {153-169},
	doi = {10.1007/978-3-319-95104-1_10},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053070003\&doi=10.1007\%2f978-3-319-95104-1_10\&partnerID=40\&md5=a3b7e585281ec5fd0d0268e2187f8014},
	author = {Bouzbita, S. and El Afia, A. and Faizi, R.}
}
@article {Biallaten20191327,
	title = {Hybrid method for automating generation of reticulated structures (lattice structures) in complex conception domains},
	journal = {International Journal of Electrical and Computer Engineering},
	volume = {9},
	number = {2},
	year = {2019},
	note = {cited By 0},
	pages = {1327-1334},
	doi = {10.11591/ijece.v9i2.pp.1327-1334},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059986939\&doi=10.11591\%2fijece.v9i2.pp.1327-1334\&partnerID=40\&md5=9e8baf15f27ff8bc5dd5843538b859cc},
	author = {Biallaten, Z. and Chiheb, R. and El Afia, A.}
}
@conference {Hamlaoui20181695,
	title = {Heterogeneous design models alignment: From matching to consistency management},
	booktitle = {Proceedings of the ACM Symposium on Applied Computing},
	year = {2018},
	pages = {1695-1697},
	doi = {10.1145/3167132.3167425},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050549845\&doi=10.1145\%2f3167132.3167425\&partnerID=40\&md5=e3979910149360a200e2cb9730a3469b},
	author = {Hamlaoui, M.E. and Bennani, S. and Nassar, M. and Ebersold, S. and Coulette, B.}
}
@conference {Illi20181,
	title = {A high accuracy solver for RTE in underwater optical communication path loss prediction},
	booktitle = {Proceedings - 2018 International Conference on Advanced Communication Technologies and Networking, CommNet 2018},
	year = {2018},
	pages = {1-8},
	doi = {10.1109/COMMNET.2018.8360253},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048315000\&doi=10.1109\%2fCOMMNET.2018.8360253\&partnerID=40\&md5=12749d7368596843ee644e3a2d679eec},
	author = {Illi, E. and El Bouanani, F. and Ayoub, F.}
}
@conference {Elkoubaiti2018189,
	title = {How are augmented and virtual reality used in smart classrooms?},
	booktitle = {ACM International Conference Proceeding Series},
	year = {2018},
	pages = {189-196},
	doi = {10.1145/3289100.3289131},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058625080\&doi=10.1145\%2f3289100.3289131\&partnerID=40\&md5=c9e08a48f74a3c7a1d18c7a3ebe007fc},
	author = {Elkoubaiti, H. and Mrabet, R.}
}
@conference {Fkihi20182184,
	title = {How big data is reshaping the e-commerce industry},
	booktitle = {Proceedings of the 31st International Business Information Management Association Conference, IBIMA 2018: Innovation Management and Education Excellence through Vision 2020},
	year = {2018},
	pages = {2184-2189},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060821566\&partnerID=40\&md5=0b245a1936c2cf3e78d4a9af77e3d592},
	author = {Fkihi, S.E. and Faizi, R.}
}
@conference {Houari20181,
	title = {Hybrid big data warehouse for on-demand decision needs},
	booktitle = {Proceedings of 2017 International Conference on Electrical and Information Technologies, ICEIT 2017},
	volume = {2018-January},
	year = {2018},
	pages = {1-6},
	doi = {10.1109/EITech.2017.8255261},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047477758\&doi=10.1109\%2fEITech.2017.8255261\&partnerID=40\&md5=f88360d6e054f43cc33c4593431fa891},
	author = {Houari, M.E. and Rhanoui, M. and Asri, B.E.}
}
@conference {Tali20171017,
	title = {Harmonic detection methods of Shunt Active Power Filter under unbalanced loads},
	booktitle = {Proceedings of 2016 International Renewable and Sustainable Energy Conference, IRSEC 2016},
	year = {2017},
	note = {cited By 0},
	pages = {1017-1023},
	abstract = {One of the main power quality problems, created in power system, is related the current harmonics generated by nonlinear loads and power electronic equipment. To minimize these effects, different types of compensators have been proposed to increase the electric system quality. Active Power Filter is one of those compensators. This paper deals with the configuration, design, control, and algorithm witch modele an efficient method detection of Active Shunt Power Filter called Synchronous Detection Method SDM. The objective of this method, is to maintain unity power factor with extensive compensation of the reactive power and mitigation of current harmonics despite load variations. This method is simulated and compared to the PQ theory in Matlab/Simulink environment and accuracy of this approach is proved. {\textcopyright} 2016 IEEE.},
	doi = {10.1109/IRSEC.2016.7984003},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027862570\&doi=10.1109\%2fIRSEC.2016.7984003\&partnerID=40\&md5=4c94dd38a343b63fb0b36d0d4ab6078e},
	author = {Tali, M. and Essadki, A. and Nasser, T.}
}
@conference {Hosni2017174,
	title = {Heterogeneous Ensembles for Software Development Effort Estimation},
	booktitle = {Proceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016},
	year = {2017},
	note = {cited By 0},
	pages = {174-178},
	abstract = {Software effort estimation influences almost all the process of software development such as: bidding, planning, and budgeting. Hence, delivering an accurate estimation in early stages of the software life cycle may be the key of success of any project. To this aim, many solo techniques have been proposed to predict the effort required to develop a software system. Nevertheless, none of them proved to be suitable in all circumstances. Recently, Ensemble Effort Estimation has been investigated to estimate software effort and consists on generating the software effort by combining more than one solo estimation technique by means of a combination rule. In this study, a heterogeneous EEE based on four machine learning techniques was investigated using three linear rules and two well-known datasets. The results of this study suggest that the proposed heterogeneous EEE yields a very promising performance and there is no best combiner rule that can be recommended. {\textcopyright} 2016 IEEE.},
	doi = {10.1109/ISCMI.2016.15},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034656098\&doi=10.1109\%2fISCMI.2016.15\&partnerID=40\&md5=86bd61c4459af4a3491046df1925ab2c},
	author = {Hosni, M. and Idri, A. and Nassif, A.B. and Abran, A.}
}
@article {Afia20179997,
	title = {Hidden markov model control of inertia weight adaptation for Particle swarm optimization},
	journal = {IFAC-PapersOnLine},
	volume = {50},
	number = {1},
	year = {2017},
	note = {cited By 0},
	pages = {9997-10002},
	abstract = {Particle swarm optimization (PSO) is a stochastic algorithm based population that integrates social interactions of animals in nature. One of the main challenges within PSO is to balance between global and local search throughout the course of a run. To achieve this trade-off, various adaptive PSOs have been proposed in order to control the values of its parameters. The present paper makes an attempt to determine a generalized adaptive framework for the setting of the inertia weight parameter which is named HMM-wPSO. That is, a control mechanism of the inertia weight is proposed based on the estimation of states using hidden Markov model (HMM). We performed evaluations on ten benchmark functions to test the HMM control of inertia weight parameter for the PSO. Experimental results show that our proposed scheme outperforms other compared PSO variants in major cases in terms of solution accuracy and convergence speed. {\textcopyright} 2017},
	doi = {10.1016/j.ifacol.2017.08.2030},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031775272\&doi=10.1016\%2fj.ifacol.2017.08.2030\&partnerID=40\&md5=3e5c7fac9adf59cd9559143a77cf11ab},
	author = {Afia, A.E. and Sarhani, M. and Aoun, O.}
}
@conference {Lalaoui2017558,
	title = {Hidden Markov Model for a self-learning of Simulated Annealing cooling law},
	booktitle = {International Conference on Multimedia Computing and Systems -Proceedings},
	year = {2017},
	note = {cited By 0},
	pages = {558-563},
	abstract = {The Simulated Annealing (SA) is a stochastic local search algorithm. It is an adaptation of the Metropolis-Hastings Monte Carlo algorithm. SA mimics the annealing process in metallurgy to approximate the global optimum of an optimization problem and uses a temperature parameter to control the search. The efficiency of the simulated annealing algorithm involves the adaptation of the cooling schedule. In this paper, we integrate Hidden Markov Model (HMM) in SA to iteratively predict the best cooling law according to the search history. Experiments performed on many benchmark functions show that our proposed scheme outperforms other SA variants in term of quality of solutions. {\textcopyright} 2016 IEEE.},
	doi = {10.1109/ICMCS.2016.7905557},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019141326\&doi=10.1109\%2fICMCS.2016.7905557\&partnerID=40\&md5=68063f3aef36190a9965517a3e628711},
	author = {Lalaoui, M. and El Afia, A. and Chiheb, R.}
}
@conference {Haddad2017484,
	title = {A high gain Novel Dielectric Resonator Antenna (NDRA) for anti-collision short range radar (SRR) application},
	booktitle = {International Conference on Multimedia Computing and Systems -Proceedings},
	year = {2017},
	note = {cited By 0},
	pages = {484-486},
	abstract = {This paper presents the design of Novel Dielectric Resonator Antenna (NDRA) feed by a micro-strip line for anti-collision radar SRR application at 24 GHz. The proposed NDRA operates at a frequency of 24 GHz with a dielectric constant of 18. The simulated NDRA has a high gain (12.24 dB) and a high radiation efficiency (94 \%). The return loss, radiation pattern and gain of the proposed antenna are evaluated. The simulation process was carried out using Computer Simulation Technology (CST) Microwave Studio. {\textcopyright} 2016 IEEE.},
	doi = {10.1109/ICMCS.2016.7905582},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019154107\&doi=10.1109\%2fICMCS.2016.7905582\&partnerID=40\&md5=5e26a28411e91981e44e0fd02ad0dda4},
	author = {Haddad, A. and Aoutoul, M. and Rais, K. and Essaaidi, M.}
}
@conference {YoussfiAlaoui2017,
	title = {Human fall detection using von mises distribution and motion vectors of interest points},
	booktitle = {ACM International Conference Proceeding Series},
	volume = {Part F129474},
	year = {2017},
	note = {cited By 0},
	abstract = {In the field of public health care, fall detection is one of the major problem, especially for elderly persons. For that, an effective surveillance system is a necessity to reduce injuries caused by falls. Our article presents a new method to detect falls. In fact, we used optical flow to calculate motion vectors and statistical distribution named von Mises. {\textcopyright} 2017 Association for computing machinery.},
	doi = {10.1145/3090354.3090438},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028462198\&doi=10.1145\%2f3090354.3090438\&partnerID=40\&md5=f0c8dbfd8b6a8894a4a085817ad5ebe6},
	author = {Youssfi Alaoui, A. and El Hassouny, A. and Oulad Haj Thami, R. and Tairi, H.}
}
@article {Abderrahman2017210,
	title = {A hybrid algorithm for vehicle routing problem with time windows and target time},
	journal = {Journal of Theoretical and Applied Information Technology},
	volume = {95},
	number = {1},
	year = {2017},
	note = {cited By 0},
	pages = {210-219},
	abstract = {The routing of a fleet of vehicles to service a set of customers is important in the field of goods distribution. Vehicle routing problem with time windows (VRPTW) is a well-known combinatorial problem. This article aims at studying the vehicle routing problem with time windows and target time (VRPTWTT). VRPTWTT involves the routing of a set of vehicles with limited capacity from a central depot to a set of geographically dispersed customers with known demands and predefined time windows as well as a target time. There are penalties associated with servicing either earlier or later than this target servicing time. The goal is to minimize the costs of transport and penalties of delay and ahead of time. Although VRPTWTT is a new variant of the VRP with time windows, the problem is not easy to solve, and it is also NP-hard. To solve the VRPTWTT, we propose a hybrid method combining Neighborhood search with Ant Colony Optimization Algorithm (ACO). Furthermore, when ACO is close to current optimal solution, neighborhood search is used to maintain the diversity of ACO and explore new solutions. First, we present a description of the hybrid method followed by computational results and the conclusion. {\textcopyright} 2005 - 2017 JATIT \& LLS. All rights reserved.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010188946\&partnerID=40\&md5=ab0a6c69de17f1da6b246486211ec193},
	author = {Abderrahman, A.a and Karim, E.B.b and Ahmed, E.H.A.a and Adil, B.b}
}
@article {Abbassi2017210,
	title = {A hybrid algorithm for vehicle routing problem with time windows and target time},
	journal = {Journal of Theoretical and Applied Information Technology},
	volume = {95},
	number = {1},
	year = {2017},
	note = {cited By 1},
	pages = {210-219},
	abstract = {The routing of a fleet of vehicles to service a set of customers is important in the field of goods distribution. Vehicle routing problem with time windows (VRPTW) is a well-known combinatorial problem. This article aims at studying the vehicle routing problem with time windows and target time (VRPTWTT). VRPTWTT involves the routing of a set of vehicles with limited capacity from a central depot to a set of geographically dispersed customers with known demands and predefined time windows as well as a target time. There are penalties associated with servicing either earlier or later than this target servicing time. The goal is to minimize the costs of transport and penalties of delay and ahead of time. Although VRPTWTT is a new variant of the VRP with time windows, the problem is not easy to solve, and it is also NP-hard. To solve the VRPTWTT, we propose a hybrid method combining Neighborhood search with Ant Colony Optimization Algorithm (ACO). Furthermore, when ACO is close to current optimal solution, neighborhood search is used to maintain the diversity of ACO and explore new solutions. First, we present a description of the hybrid method followed by computational results and the conclusion. {\textcopyright} 2005 - 2017 JATIT \& LLS. All rights reserved.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010188946\&partnerID=40\&md5=ab0a6c69de17f1da6b246486211ec193},
	author = {Abbassi, A. and El Bouyahyiouy, K. and El Hilali Alaoui, A. and Bellabdaoui, A.}
}
@conference {Hamada20172084,
	title = {A hybrid approach for a strategic planning problem represented by a three-echelon logistics network},
	booktitle = {Proceedings of the International Conference on Industrial Engineering and Operations Management},
	year = {2017},
	note = {cited By 0},
	pages = {2084-2085},
	abstract = {This article aims to elaborate a strategic plan allowing to decision makers to take right decisions (Selecting suppliers, Selecting plants that can produce a specific product,..) in the right moment in order to minimize the generated costs It is in this context that our work is being taken. The objective is to model and solve a strategic planning problem at three levels which are: supplier-plant, plant-plant and plant-customer. The costs taken into effect in this model are: the supply costs, production costs and transport costs. The problem belongs to the CFLP Family (Capacitated Facility Location Problem) with a NPhard complexity. The objective of our MIP problem is to maximize a production company benefits through minimizing costs mentioned above. Given the limitations of exact methods and the optimum local problem when we used a heuristic method like a LNS (Large Neighborhood Search), we proposed to solve this problem using hybridization between two heuristics: LNS \& Genetic Algorithm This hybridization will give us more opportunities to find better solution when a local optimum is reached. {\textcopyright} IEOM Society International.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018996488\&partnerID=40\&md5=986399337bcb183f863d9133bfa92170},
	author = {Hamada, Y. and Benadada, Y. and Gendron, B.}
}
@conference {Chafik20171983,
	title = {A hybrid bin-packing algorithm for solving the yard optimization problem},
	booktitle = {Proceedings of the International Conference on Industrial Engineering and Operations Management},
	year = {2017},
	note = {cited By 0},
	pages = {1983-1991},
	abstract = {Maritime container terminals are facilities where cargo containers are transshipped between ships or between ships and land vehicles (tucks or trains). They can be automated; semi-automated or static ones depend on the type of the equipments that they contain. There are crucial resources at container terminals; the yard, cranes and the vehicles. The yard refers to the temporary storage area where inbound, outbound containers can be stored. While we have two kinds of cranes depending on the type of the yard we are working on: yard crane and quay crane. Vehicles are used to transfer the container between the seaside and yard side (the external trucks XTs are not considerable in our study). The decision of the container stacking position is the most important operational task for the incoming containers which affects not only the productivity of the stacking but also for the later retrieval and also to avoid the unproductive moves to access to the requested containers stored in the stack. Our aim is to define a new approach to design the container stacking problem using an approach of optimization and simulation. Thus in this paper we will define a new MIP which has as objective the minimization of the number of the stacks used to store a given number of inbound containers, and to define afterwards a simulation model using a simulation software (Arena) which has as input the result of the optimization model. So we will try first to define a relocation model using the standard (FCFS) then the Best fit decrease (BFD) from the bin packing algorithm to store and maintain the storage area and to avoid unproductive moves and reshuffles to find out the requested container sequence. The main inputs are high, weight, destination and the delivery time of each container. Our objective is to have, based on heuristics, a guide to the planner to obtain an optimized stacking / reshuffling plan, given a stacking state and a container demand. We will try to minimize the number of reshuffles as well as the number of stacks used and obtaining a conclusion about possible yard configurations. {\textcopyright} IEOM Society International.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019000218\&partnerID=40\&md5=9aebf3bb53d265a1dd55c143dac817a3},
	author = {Chafik, R. and Benadada, Y. and Boukachour, J.}
}
@conference { ISI:000389502600020,
	title = {Hybrid Encryption Approach Using Dynamic Key Generation and Symmetric Key Algorithm for RFID Systems},
	booktitle = {Networked Systems, NETYS 2016},
	series = {Lecture Notes in Computer Science},
	volume = {9944},
	year = {2016},
	note = {4th International Conference on Networked Systems (NETYS), Marrakech, MOROCCO, MAY 18-20, 2016},
	pages = {244-249},
	abstract = {The security of RFID systems become an important subject especially for low cost RFID tags. A lot of Cryptographic algorithms were proposed to insure the security and in the same time meet the resource limitations. In this paper, we proposed a hybrid cryptographic approach as symmetric key encryption technique which generate the key dynamically, together with integrity check parameters. The generation of key stream follows the chained approach, beginning from the initial key pre-shared. As a result, the computational complexity will be reduced as well as increase performance.},
	isbn = {978-3-319-46140-3; 978-3-319-46139-7},
	issn = {0302-9743},
	doi = {10.1007/978-3-319-46140-3\_20},
	author = {Labbi, Zouheir and Maarof, Ahmed and Senhadji, Mohamed and Belkasmi, Mostafa},
	editor = {Abdulla, PA and DelporteGallet, C}
}
@article {Labbi2016244,
	title = {Hybrid encryption approach using dynamic key generation and symmetric key algorithm for RFID systems},
	journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {9944 LNCS},
	year = {2016},
	note = {cited By 0},
	pages = {244-249},
	abstract = {The security of RFID systems become an important subject especially for low cost RFID tags. A lot of Cryptographic algorithms were proposed to insure the security and in the same time meet the resource limitations. In this paper, we proposed a hybrid cryptographic approach as symmetric key encryption technique which generate the key dynamically, together with integrity check parameters. The generation of key stream follows the chained approach, beginning from the initial key pre-shared. As a result, the computational complexity will be reduced as well as increase performance. {\textcopyright} Springer International Publishing AG 2016.},
	doi = {10.1007/978-3-319-46140-3_20},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84990041918\&doi=10.1007\%2f978-3-319-46140-3_20\&partnerID=40\&md5=d8545d3fd6f2b1f8b844953b422053cf},
	author = {Labbi, Z. and Maarof, A. and Senhadji, M. and Belkasmi, M.}
}
@conference { ISI:000389502600037,
	title = {Hybrid Homomorphic Encryption for Cloud Privacy},
	booktitle = {Networked Systems, NETYS 2016},
	series = {Lecture Notes in Computer Science},
	volume = {9944},
	year = {2016},
	note = {4th International Conference on Networked Systems (NETYS), Marrakech, MOROCCO, MAY 18-20, 2016},
	pages = {380},
	isbn = {978-3-319-46140-3; 978-3-319-46139-7},
	issn = {0302-9743},
	author = {Bensitel, Yasmina and Rahal, Romadi},
	editor = {Abdulla, PA and DelporteGallet, C}
}
@article {Touil2016385,
	title = {A hybrid metaheuristic method to optimize the order of the sequences in continuous-casting},
	journal = {International Journal of Industrial Engineering Computations},
	volume = {7},
	number = {3},
	year = {2016},
	note = {cited By 0},
	pages = {385-398},
	abstract = {In this paper, we propose a hybrid metaheuristic algorithm to maximize the production and to minimize the processing time in the steel-making and continuous casting (SCC) by optimizing the order of the sequences where a sequence is a group of jobs with the same chemical characteristics. Based on the work Bellabdaoui and Teghem (2006) [Bellabdaoui, A., \& Teghem, J. (2006). A mixed-integer linear programming model for the continuous casting planning. International Journal of Production Economics, 104(2), 260-270.], a mixed integer linear programming for scheduling steelmaking continuous casting production is presented to minimize the makespan. The order of the sequences in continuous casting is assumed to be fixed. The main contribution is to analyze an additional way to determine the optimal order of sequences. A hybrid method based on simulated annealing and genetic algorithm restricted by a tabu list (SA-GA-TL) is addressed to obtain the optimal order. After parameter tuning of the proposed algorithm, it is tested on different instances using a.NET application and the commercial software solver Cplex v12.5. These results are compared with those obtained by SATL (simulated annealing restricted by tabu list). {\textcopyright} 2016 Growing Science Ltd. All rights reserved.},
	doi = {10.5267/j.ijiec.2016.2.001},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957917029\&doi=10.5267\%2fj.ijiec.2016.2.001\&partnerID=40\&md5=e0284256115fc0d4bf606a30dc17c14b},
	author = {Touil, A.a and Echchtabi, A.a and Bellabdaoui, A.b and Charkaoui, A.a}
}
@conference {Idri2015397,
	title = {Heart disease diagnosis using C4.5 algorithms: A case study},
	booktitle = {HEALTHINF 2015 - 8th International Conference on Health Informatics, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015},
	year = {2015},
	note = {cited By 2},
	pages = {397-404},
	abstract = {Data mining (DM) is a powerful process to extract knowledge and discover new patterns embedded in large data sets. DM has been increasingly used in medicine, particularly in cardiology. In fact, data mining applications can greatly benefits all parts involved in cardiology such as patients, cardiologists and nurses. Among the various units of a cardiology department, Autonomic Nervous System (ANS) is one of the most important and active unit. Thus, the aim of this study is to build a decision tree-based classifier using a data set collected from an ANS unit of the Moroccan university hospital Avicenne. The decision tree construction algorithm used in this study is C4.5. The classifier obtained presented a high level of accuracy measured in terms of error rate.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938830011\&partnerID=40\&md5=4a5834cb70e23bacb28e8679fda98b89},
	author = {Idri, A.a and Kadi, I.a and Benjelloun, H.b}
}
@conference {Fissaa2015640,
	title = {How can semantics and context awareness enhance the composition of context-aware services?},
	booktitle = {ICEIS 2015 - 17th International Conference on Enterprise Information Systems, Proceedings},
	volume = {2},
	year = {2015},
	note = {cited By 0},
	pages = {640-647},
	abstract = {The context-aware services refers to applications that use so-called contextual information to provide appropriate services or relevant information to the user or other applications to perform a specific task. An important challenge in context-aware service oriented systems is the creation of a new service on demand to carry out more complex tasks through the composition of existing services. In this work, we aim to propose a semantic based architecture for the development of context aware services composition using Artificial Intelligence (AI) planning. The straightforward translation between AI planning through PDDL and Semantic web services via OWL-S allows to automate the composition process. Thus planning based service composition launches a goal-oriented composition procedure to generate a plan of composite service corresponding to the user request. Copyright {\textcopyright} 2015 SCITEPRESS - Science and Technology Publications.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939560458\&partnerID=40\&md5=0a9e2c87038f1d032ffe405577e99b17},
	author = {Fissaa, T.a and Guermah, H.a and Hafiddi, H.a b and Nassar, M.a}
}
@conference {Madani2015,
	title = {How to secure a collaborative session in a single tenant environment},
	booktitle = {International Conference on Protocol Engineering, ICPE 2015 and International Conference on New Technologies of Distributed Systems, NTDS 2015 - Proceedings},
	year = {2015},
	note = {cited By 0},
	abstract = {Cloud computing allows to move computing and storage components from individual systems into the cloud, which provides software and hardware services over the Internet. A collaborative application is among software services that can be provided by the cloud computing to enable collaboration among users from the same or different tenants. In this context, security of the shared resources in a collaborative session becomes an important issue that must be addressed. This paper proposes an approach that ensures access control to the shared resources in a collaborative session in single tenant environments. The suggested approach introduces new entities and relationships to support collaborative sessions in single-tenant environments. Finally, we validate this approach by an implementation in the SwiftStack environment. {\textcopyright} 2015 IEEE.},
	doi = {10.1109/NOTERE.2015.7293508},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962212224\&doi=10.1109\%2fNOTERE.2015.7293508\&partnerID=40\&md5=5712469ec072c40c85698195a4db2800},
	author = {Madani, M.A. and Erradi, M.}
}
@conference { ISI:000380452500039,
	title = {How to Secure a Collaborative Session in a Single Tenant Environment},
	booktitle = {2015 INTERNATIONAL CONFERENCE ON PROTOCOL ENGINEERING (ICPE) AND INTERNATIONAL CONFERENCE ON NEW TECHNOLOGIES OF DISTRIBUTED SYSTEMS (NTDS)},
	year = {2015},
	note = {International Conference on Protocol Engineering (ICPE) and International Conference on New Technologies of Distributed Systems (NTDS) (ICPE-NTDS), Paris, FRANCE, JUL 22-24, 2015},
	publisher = {Institut Mines-Telecom; Universite Paris Descartes; cnrs; Telecom SudParis; Universite Paris 13; UQAM; IEEE; UPMC; Telecom ParisTech; Telecom Bretagne; utt; le cnam},
	organization = {Institut Mines-Telecom; Universite Paris Descartes; cnrs; Telecom SudParis; Universite Paris 13; UQAM; IEEE; UPMC; Telecom ParisTech; Telecom Bretagne; utt; le cnam},
	abstract = {Cloud computing allows to move computing and storage components from individual systems into the cloud, which provides software and hardware services over the Internet. A collaborative application is among software services that can be provided by the cloud computing to enable collaboration among users from the same or different tenants. In this context, security of the shared resources in a collaborative session becomes an important issue that must be addressed. This paper proposes an approach that ensures access control to the shared resources in a collaborative session in single tenant environments. The suggested approach introduces new entities and relationships to support collaborative sessions in single-tenant environments. Finally, we validate this approach by an implementation in the SwiftStack environment.},
	isbn = {978-1-4673-9265-5},
	author = {Amine Madani, Mohamed and Erradi, Mohammed}
}
@conference { ISI:000380450300017,
	title = {Hybrid approach for project portfolio selection based on the business strategy and the scoring model},
	booktitle = {FIFTH INTERNATIONAL CONFERENCE ON THE INNOVATIVE COMPUTING TECHNOLOGY (INTECH 2015)},
	year = {2015},
	note = {International Conference on the Innovative Computing Technology (INTECH), Galicia, SPAIN, MAY 20-22, 2015},
	pages = {106-111},
	abstract = {From among numerous opportunities, organizations must select the projects they decide to pursue. The consequences of poor decisions can be extremely expensive. This is why many methods and models for project portfolio selection have been developed. In this paper, we propose a project portfolio selection approach that combines a business strategy method with a scoring model. The proposed hybrid approach also includes recommendations on the selection criteria provided. Two criteria are identified: the value and risk, the third is at the option of the organization for more flexibility.},
	isbn = {978-1-4673-7551-1},
	author = {Benaija, Khadija and Kjiri, Laila}
}
@conference {Benaija2015106,
	title = {Hybrid approach for project portfolio selection based on the business strategy and the scoring model},
	booktitle = {5th International Conference on Innovative Computing Technology, INTECH 2015},
	year = {2015},
	note = {cited By 0},
	pages = {106-111},
	abstract = {From among numerous opportunities, organizations must select the projects they decide to pursue. The consequences of poor decisions can be extremely expensive. This is why many methods and models for project portfolio selection have been developed. In this paper, we propose a project portfolio selection approach that combines a business strategy method with a scoring model. The proposed hybrid approach also includes recommendations on the selection criteria provided. Two criteria are identified: the value and risk, the third is at the option of the organization for more flexibility. {\textcopyright} 2015 IEEE.},
	doi = {10.1109/INTECH.2015.7173476},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946572345\&doi=10.1109\%2fINTECH.2015.7173476\&partnerID=40\&md5=f2ea1bca34b1f93bcefcb7a3b9557da1},
	author = {Benaija, K. and Kjiri, L.}
}
@article {11273146620151201,
	title = {Hybrid Approach for Project Portfolio Selection Taking Account of Resources Management and Interactions between Projects.},
	journal = {Journal of Digital Information Management},
	volume = {13},
	number = {6},
	year = {2015},
	pages = {451 - 461},
	abstract = {From among numerous opportunities, organizations must select the projects they decide to pursue. The consequences of poor decisions can be extremely expensive. This is why many methods and models for project portfolio selection have been developed. In this paper, we propose a project portfolio selection approach that combines essentially a business strategy method with a scoring model. The financial method is also present of the fact that the scoring model considers the financial value as an important criterion. The proposed hybrid approach also includes recommendations on the selection criteria provided. Two criteria are identified: the value and risk, the third is at the option of the organization for more flexibility. The approach provides a phase control on two elements: the management of resources and interactions between projects. [ABSTRACT FROM AUTHOR]},
	keywords = {Blended learning, Financial management, Portfolio management (Investments), Project Portfolio Management, Resource Management, Resource management {\textendash} Research, Simulation, Strategic planning},
	issn = {09727272},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=112731466\&site=ehost-live},
	author = {Benaija, Khadija and Kjiri, Laila}
}
@article {Benaija2015451,
	title = {Hybrid approach for project portfolio selection taking account of resources management and interactions between projects},
	journal = {Journal of Digital Information Management},
	volume = {13},
	number = {6},
	year = {2015},
	note = {cited By 0},
	pages = {451-461},
	abstract = {From among numerous opportunities, organizations must select the projects they decide to pursue. The consequences of poor decisions can be extremely expensive. This is why many methods and models for project portfolio selection have been developed. In this paper, we propose a project portfolio selection approach that combines essentially a business strategy method with a scoring model. The financial method is also present of the fact that the scoring model considers the financial value as an important criterion. The proposed hybrid approach also includes recommendations on the selection criteria provided. Two criteria are identified: the value and risk, the third is at the option of the organization for more flexibility. The approach provides a phase control on two elements: the management of resources and interactions between projects.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959232725\&partnerID=40\&md5=dfb8c730a2a801c9e09550897ae0f3d3},
	author = {Benaija, K. and Kjiri, L.}
}
@conference {Ghenname201439,
	title = {A hashtags dictionary from crowdsourced definitions},
	booktitle = {Proceedings - International Conference on Data Engineering},
	year = {2014},
	note = {cited By 1},
	pages = {39-44},
	abstract = {Hashtags are user-defined terms used on the Web to tag messages like microposts, as featured on Twitter. Because a hashtag is a textual word, its representation does not convey all the concepts it embodies. Several online dictionaries have been manually and collaboratively built to provide natural language definitions of hashtags. Unfortunately, these dictionaries in their rough form are inefficient for their inclusion in automatic text processing systems. As hashtags can be polysemic, dictionaries are also agnostic to collision of hashtags. This paper presents our approach for the automatic structuration of hashtags definitions into synonym rings. We present the output as a so-called folksionary, i.e. a single integrated dictionary built from everybody{\textquoteright}s definitions. For this purpose, we achieved a semantic-relatedness clustering to group definitions that share the same meaning. {\textcopyright} 2014 IEEE.},
	doi = {10.1109/ICDEW.2014.6818300},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901760198\&doi=10.1109\%2fICDEW.2014.6818300\&partnerID=40\&md5=540602f5d144ab86a039b3b88df86c33},
	author = {Ghenname, M.a and Subercaze, J.a and Gravier, C.a and Laforest, F.a and Abik, M.b and Ajhoun, R.b}
}
@conference { ISI:000366168000006,
	title = {A hashtags dictionary from crowdsourced definitions},
	booktitle = {2014 IEEE 30TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING WORKSHOPS (ICDEW)},
	year = {2014},
	note = {IEEE 30th International Conference on Data Engineering (ICDE), Chicago, IL, MAR 31-APR 04, 2014},
	pages = {39-44},
	publisher = {IEEE; Microsoft; Qatar Comp Res Inst; HERE Nokia; Purdue Univ, Cyber Ctr; NW Univ, McCormick Sch Engn; Google},
	organization = {IEEE; Microsoft; Qatar Comp Res Inst; HERE Nokia; Purdue Univ, Cyber Ctr; NW Univ, McCormick Sch Engn; Google},
	abstract = {Hashtags are user-defined terms used on the Web to tag messages like microposts, as featured on Twitter. Because a hashtag is a textual word, its representation does not convey all the concepts it embodies. Several online dictionaries have been manually and collaboratively built to provide natural language definitions of hashtags. Unfortunately, these dictionaries in their rough form are inefficient for their inclusion in automatic text processing systems. As hashtags can be polysemic, dictionaries are also agnostic to collision of hashtags. This paper presents our approach for the automatic structuration of hashtags definitions into synonym rings. We present the output as a so-called folk-sionary, i.e. a single integrated dictionary built from everybody{\textquoteright}s definitions. For this purpose, we achieved a semantic-relatedness clustering to group definitions that share the same meaning.},
	isbn = {978-1-4799-3481-2},
	author = {Ghenname, Merieme and Subercaze, Julien and Gravier, Christophe and Laforest, Frederique and Abik, Mounia and Ajhoun, Rachida}
}
@conference {ElHamlaoui2014,
	title = {Heterogeneous models matching for consistency management},
	booktitle = {Proceedings - International Conference on Research Challenges in Information Science},
	year = {2014},
	note = {cited By 2},
	abstract = {This work is situated in the context of the application of Model Driven Engineering to complex systems view-based modelling. In fact, view-based models - called also partial models - are manipulated by different actors (designers), and are thus generally heterogeneous, that is, described with different DSLs (Domain Specific Languages). Instead of building a single global model, which is not realistic, we propose to organize the different partial models as a network of related models, which provides a global view of the system through a correspondence model. As models are modelled separately by different designers, they also evolve separately that induces a problem of consistency. To solve it, we propose a semi-automatic process based on the correspondence model allowing detecting changes, calculating their impacts, and proposing modifications to maintain the consistency among them. The approach is supported by a tool chain and illustrated by the example of a Bug Tracking System. {\textcopyright} 2014 IEEE.},
	doi = {10.1109/RCIS.2014.6861074},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906751582\&doi=10.1109\%2fRCIS.2014.6861074\&partnerID=40\&md5=24df7be74c52394ea7231715c49b9680},
	author = {El Hamlaoui, M.a b and Ebersold, S.a and Coulette, B.a and Nassar, M.b and Anwar, A.c}
}
@conference {Jorio2014861,
	title = {A hierarchical clustering algorithm based on spectral classification for Wireless Sensor Networks},
	booktitle = {International Conference on Multimedia Computing and Systems -Proceedings},
	year = {2014},
	note = {cited By 1},
	pages = {861-866},
	abstract = {A Wireless Sensor Network (WSN) is composed of a large number of autonomous and compact devices called sensor nodes. This network can be an effective tool for gathering data in a variety of enviornments. However, These sensor nodes have some constraints due to their limited energy, storage capacity and computing power. Therefor, saving energy and, thus extending the WSN lifetime entails great challenges. In order to prolong the lifetime of WSN, this study presents a hierarchical clustering algorithm based on spectral classification (HCA-SC). First, to overcome the ideal distribution of clusters, HCA-SC partition the network by spectral classification algorithm. Second, for each cluster, HCA-SC selects a node as a cluster head with regard residual energy and distance from base station. Simulation results showed that our algorithm performs better in reducing the energy consumption of sensor nodes and effectively improves the lifetime of wireless sensor networks. {\textcopyright} 2014 IEEE.},
	doi = {10.1109/ICMCS.2014.6911354},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928732445\&doi=10.1109\%2fICMCS.2014.6911354\&partnerID=40\&md5=2070584e9f01d9b450a2a4a005ba6a08},
	author = {Jorio, A.a and El Fkihi, S.b and Elbhiri, B.c and Aboutajdine, D.a}
}
@conference { ISI:000366999600151,
	title = {A Hierarchical Clustering Algorithm based on Spectral Classification for Wireless Sensor Networks},
	booktitle = {2014 INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS)},
	year = {2014},
	note = {International Conference on Multimedia Computing and Systems (ICMCS), Marrakech, MOROCCO, APR 14-16, 2014},
	pages = {861-866},
	abstract = {A Wireless Sensor Network (WSN) is composed of a large number of autonomous and compact devices called sensor nodes. This network can be an effective tool for gathering data in a variety of enviornments. However, These sensor nodes have some constraints due to their limited energy, storage capacity and computing power. Therefor, saving energy and, thus extending the WSN lifetime entails great challenges. In order to prolong the lifetime of WSN, this study presents a hierarchical clustering algorithm based on spectral classification (HCA-SC). First, to overcome the ideal distribution of clusters, HCA-SC partition the network by spectral classification algorithm. Second, for each cluster, HCA-SC selects a node as a cluster head with regard residual energy and distance from base station. Simulation results showed that our algorithm performs better in reducing the energy consumption of sensor nodes and effectively improves the lifetime of wireless sensor networks.},
	isbn = {978-1-4799-3824-7},
	author = {Jorio, Ali and El Fkihi, Sanaa and Elbhiri, Brahim and Aboutajdine, Driss}
}
@article {Ouzineb2014156,
	title = {A Hybrid Method for Solving Buffer Sizing and Inspection Stations Allocation},
	journal = {IFIP Advances in Information and Communication Technology},
	volume = {440},
	number = {PART 3},
	year = {2014},
	note = {cited By 0},
	pages = {156-166},
	abstract = {The buffer sizing problem in unreliable production lines is an important, indeed, complex combinatorial optimization problem with many industrial applications. These applications include quality, logistics and manufacturing production systems. In the formulation of the problem, the system consists of n machines, n fixed-size buffers and m inspection station in series. The objective is to minimize a combined storage and shortage costs, and also specifying the optimal location of inspection stations in the system. The present paper aims at optimizing a generalization of the model previously proposed in (Mhada et al., 2014) using a novel approach. In this approach, we combine Tabu Search (TS) and Genetic Algorithm (GA) to identify search regions with promising locations of inspection stations and an exact method to optimize the assignment of buffer sizes for each location. This approach provides a balance between diversification and intensification. Numerical results on test problems from previous research are reported. Using this approach, we can reduce the solution time by more than 97\% in some cases. {\textcopyright} IFIP International Federation for Information Processing 2014.},
	doi = {10.1007/978-3-662-44733-8_20},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906923939\&doi=10.1007\%2f978-3-662-44733-8_20\&partnerID=40\&md5=b5f75772fc70897fe5981f687a616751},
	author = {Ouzineb, M.a and Mhada, F.-Z.b and Pellerin, R.c and El Hallaoui, I.c}
}
@conference { ISI:000360158500020,
	title = {A Hybrid Method for Solving Buffer Sizing and Inspection Stations Allocation},
	booktitle = {ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: INNOVATIVE AND KNOWLEDGE-BASED PRODUCTION MANAGEMENT IN A GLOBAL-LOCAL WORLD, APMS 2014, PT III},
	series = {IFIP Advances in Information and Communication Technology},
	volume = {440},
	year = {2014},
	note = {IFIP WG 5.7 International Conference on Advances in Production Management Systems (APSM), Ajaccio, FRANCE, SEP 20-24, 2014},
	pages = {156-166},
	publisher = {IFIP WG 5 7 Advances Prod Management Syst; Res Federat Distributed Org Engn; CNRS Res Grp Modelling \& Anal Complex Syst; Res Inst Transports Energy \& Soc},
	organization = {IFIP WG 5 7 Advances Prod Management Syst; Res Federat Distributed Org Engn; CNRS Res Grp Modelling \& Anal Complex Syst; Res Inst Transports Energy \& Soc},
	abstract = {The buffer sizing problem in unreliable production lines is an important, indeed, complex combinatorial optimization problem with many industrial applications. These applications include quality, logistics and manufacturing production systems. In the formulation of the problem, the system consists of n machines, n fixed-size buffers and m inspection station in series. The objective is to minimize a combined storage and shortage costs, and also specifying the optimal location of inspection stations in the system. The present paper aims at optimizing a generalization of the model previously proposed in (Mhada et al., 2014) using a novel approach. In this approach, we combine Tabu Search (TS) and Genetic Algorithm (GA) to identify search regions with promising locations of inspection stations and an exact method to optimize the assignment of buffer sizes for each location. This approach provides a balance between diversification and intensification. Numerical results on test problems from previous research are reported. Using this approach, we can reduce the solution time by more than 97\% in some cases.},
	isbn = {978-3-662-44732-1},
	issn = {1868-4238},
	author = {Ouzineb, Mohamed and Mhada, Fatima-Zahra and Pellerin, Robert and El Hallaoui, Issmail},
	editor = {Grabot, B and Vallespir, B and Gomes, S and Bouras, A and Kiritsis, D}
}
@conference {Guilavogui2014281,
	title = {A hybrid strategy for integrating sensor information},
	booktitle = {ICEIS 2014 - Proceedings of the 16th International Conference on Enterprise Information Systems},
	volume = {1},
	year = {2014},
	note = {cited By 0},
	pages = {281-286},
	abstract = {The combination of sensor networks with databases has led to a large amount of real-time data to be managed, and this trend will still increase in the next coming years. With this data explosion, current integration systems have to adapt. One of the main challenges is the integration of information coming from autonomously deployed sensor networks, with different geographical scales, but also with the combination of such information with other sources, such as legacy systems. Two main approaches for integrating sensor information are generally used: virtual and warehousing approaches. In the virtual approach, sensor devices are considered as data sources and data are managed locally. In contrast, in the warehousing approach, sensor data are stored in a central database and queries are performed on it. However, these solutions turn out to be difficult to exploit in the current technology landscape. This paper focuses on the issue of integrating multiple heterogeneous sensor information and puts forward a framework for decision making process.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902319248\&partnerID=40\&md5=eed05f56f6af14fa6195619f958c6b85},
	author = {Guilavogui, K. and Kjiri, L. and Fredj, M.}
}
@conference {ElHamlaoui2013181,
	title = {Heterogeneous models matching for consistency management},
	booktitle = {ENASE 2013 - Proceedings of the 8th International Conference on Evaluation of Novel Approaches to Software Engineering},
	year = {2013},
	note = {cited By 1},
	pages = {181-188},
	abstract = {The overall goal of our approach is to relate models of a given domain. Those models are manipulated by different actors, and are thus generally heterogeneous, that is, described with different DSLs (Domain Specific Languages). Instead of building a single global model, we propose to organize the different source models as a network of models, which provides a global view of the system through a virtual global model. The matching of these models is done in a unique correspondence model composed of relationships that are instantiated from a correspondence meta-model. This meta-model is composed of a generic part - common to all the domains - And of a specific part which depends on the specific domain modelled. In this paper, we focus on the elaboration of the correspondence model based on a correspondence meta-model, through a vertical relationship named "refine". The approach is illustrated on a representative use case (a Bug Tracking System). Copyright {\textcopyright} 2013 SCITEPRESS.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887115653\&partnerID=40\&md5=a72804a8195b6d08e4fbdcb715cfd079},
	author = {El Hamlaoui, M.a b and Ebersold, S.a and Coulette, B.a and Anwar, A.c and Nassar, M.b}
}
@article {Choukri20131739,
	title = {A hierarchical version of OLSR for MANET},
	journal = {World Applied Sciences Journal},
	volume = {21},
	number = {12},
	year = {2013},
	note = {cited By 4},
	pages = {1739-1747},
	abstract = {Due to the dynamic nature of Mobile Ad Hoc Network (MANET) the Quality of Service (QoS) requires several improvements. In this paper, we propose a novel hierarchical routing protocol based on clustering approach inspired on the heuristic Max-Min D-Cluster that we have improved and implemented on standard OLSR. In order to validate this new release named OLSR-MaxMin2C we studied its stability and we compared its performances to those of other alternatives. The metrics we used in evaluating the performance of networks were Average end-to-end Delay, Control Routing Overhead and Packet Delivery Ratio according to VBR traffic (H.264) in addition to CBR traffic. Experimental results show that the control traffic is highly reduced and the improvement in the network performances is gained. {\textcopyright} IDOSI Publications, 2013.},
	doi = {10.5829/idosi.wasj.2013.21.12.154},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876000474\&doi=10.5829\%2fidosi.wasj.2013.21.12.154\&partnerID=40\&md5=d2b2f8cacb2542b846aaada949f18e72},
	author = {Choukri, A.a and Habbani, A.a b and Elkoutbi, M.a}
}
@article {Bendriss2013792,
	title = {Honeypot based intrusion management system: From a passive architecture to an ips system},
	journal = {Journal of Theoretical and Applied Information Technology},
	volume = {47},
	number = {2},
	year = {2013},
	note = {cited By 1},
	pages = {792-797},
	abstract = {In this paper, we are presenting an Intrusion Prevention System (IPS) based on multiple sensors in the network. These sensors are in fact honeypots built using honeyd. Honeyd is a high level honeypot which is very light and which is offering a lot of possibilities to get the most of information gathered about attackers in general. In fact, we are presenting a solution to go from passive and isolated sensors to a collaborative platform to help prevent intrusions by analyzing all collected data. To be able to do this, honeyd2db module was developed to enable honeyd to log its data into a database instead of a local file to the sensor. This aggregation of data from all sensors give us the possibility to analyze all collected logs as a hole and come out with a decision (deny network traffic on a firewall for example) using any of the known methods of data analysis. {\textcopyright} 2005 - 2013 JATIT \& LLS.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872851179\&partnerID=40\&md5=64123c156efa34310464200f371b9f29},
	author = {Bendriss, E. and Regragui, B.}
}
@conference {Anter2013201,
	title = {The hybrid integration system Towards a new approach for creating candidate views for materialization},
	booktitle = {2013 5th International Conference on Computer Science and Information Technology, CSIT 2013 - Proceedings},
	year = {2013},
	note = {cited By 0},
	pages = {201-209},
	abstract = {The vulgarization of information technologies and telecommunications has generated an enormous amount of information. This information is generally heterogeneous, stored in autonomous and distributed sources. Thus, it becomes necessary to introduce the information integration systems. These systems must ensure an optimal query response time, and the freshness of data. Using a virtual approach cannot answer these questions. On the one hand, the query response time is very important. Indeed, the mediator must access, every time, to the sources for load the relevant information. On the other hand, the sources are not always available. The establishment of a hybrid integration system, where a portion of information is materialized in the mediator and the other portion remains in the sources and are extracted at query time, is an effective solution to these problem, provided that the materialized part has carefully chosen. Based on the distribution of user queries, we present in this paper an approach to select the information most requested by users and organize it as candidate views for materialization in the mediator. {\textcopyright} 2013 IEEE.},
	doi = {10.1109/CSIT.2013.6588780},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884866157\&doi=10.1109\%2fCSIT.2013.6588780\&partnerID=40\&md5=901ef3c27b658be16f920570e0dd9cce},
	author = {Anter, S. and Zellou, A. and Idri, A.}
}
@conference { ISI:000332960400032,
	title = {The hybrid integration system Towards a new approach for creating candidate views for materialization},
	booktitle = {2013 5TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (CSIT)},
	series = {International Conference on Computer Science and Information Technology},
	year = {2013},
	note = {5th International Conference on Computer Science and Information Technology (CSIT), Appl Sci Private Univ, Amman, JORDAN, MAR 27-28, 2013},
	pages = {201-209},
	publisher = {Appl Sci Private Univ, Fac Informat Technol},
	organization = {Appl Sci Private Univ, Fac Informat Technol},
	abstract = {The vulgarization of information technologies and telecommunications has generated an enormous amount of information. This information is generally heterogeneous, stored in autonomous and distributed sources. Thus, it becomes necessary to introduce the information integration systems. These systems must ensure an optimal query response time, and the freshness of data. Using a virtual approach cannot answer these questions. On the one hand, the query response time is very important. Indeed, the mediator must access, every time, to the sources for load the relevant information. On the other hand, the sources are not always available. The establishment of a hybrid integration system, where a portion of information is materialized in the mediator and the other portion remains in the sources and are extracted at query time, is an effective solution to these problem, provided that the materialized part has carefully chosen. Based on the distribution of user queries, we present in this paper an approach to select the information most requested by users and organize it as candidate views for materialization in the mediator.},
	isbn = {978-1-4673-5825-5},
	issn = {2381-3458},
	author = {Anter, Samir and Zellou, Ahmed and Idri, Ali}
}
@conference { ISI:000300570200017,
	title = {HaVe-2W3G: A Vertical Handoff Solution between WLAN, WiMAX and 3G Networks},
	booktitle = {2011 7TH INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING CONFERENCE (IWCMC)},
	series = {International Wireless Communications and Mobile Computing Conference},
	year = {2011},
	note = {7th IEEE International Wireless Communications and Mobile Computing Conference (IWCMC), Istanbul, TURKEY, JUL 04-08, 2011},
	pages = {101-106},
	publisher = {IEEE; IEEE Turkey sect; Huawei},
	organization = {IEEE; IEEE Turkey sect; Huawei},
	abstract = {The demand for the ubiquitous service is increasing due to the rapidly growing demand for increased data rates, mobile Internet and the diversity of wireless communication technologies. Also due to the challenges to interconnect heterogeneous network technologies and to offer ubiquitous services, telecommunications operators look after the best way to provide continuity of service during handover and how to give the mobile client the possibility to get the best connection anywhere and anytime. In this paper we propose an architecture and its implementation which guarantees the continuity of service during a communication in the context of heterogeneous access network technologies. The suggested solution named HaVe-2W3G (Handover Vertical WLAN WiMAX 3G) ensures a Vertical handover between heterogeneous access networks technologies: WLAN, WiMAX and 3G. A performance evaluation of such implementation is shown using a streaming application.},
	isbn = {978-1-4244-9537-5},
	issn = {2376-6492},
	author = {Angoma, Blaise and Erradi, Mohammed and Benkaouz, Yahya and Berqia, Amine and Akalay, Mohammed Charaf}
}
@conference {Angoma2011101,
	title = {HaVe-2W3G: A vertical handoff solution between WLAN, WiMAX and 3G networks},
	booktitle = {IWCMC 2011 - 7th International Wireless Communications and Mobile Computing Conference},
	year = {2011},
	note = {cited By 8},
	pages = {101-106},
	doi = {10.1109/IWCMC.2011.5982514},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052450203\&doi=10.1109\%2fIWCMC.2011.5982514\&partnerID=40\&md5=678334f04e9317df81cc23e2cd3ea407},
	author = {Angoma, B. and Erradi, M. and Benkaouz, Y. and Berqia, A. and Charaf Akalay, M.}
}
@conference {Hafiddi201155,
	title = {How can service oriented systems make beneficial use of model driven architecture and aspect paradigm?},
	booktitle = {Proceedings - 6th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2011},
	year = {2011},
	note = {cited By 2},
	pages = {55-60},
	doi = {10.1109/SOSE.2011.6139092},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857282312\&doi=10.1109\%2fSOSE.2011.6139092\&partnerID=40\&md5=a9c0605ada6c82e935b293777442d55d},
	author = {Hafiddi, H. and Nassar, M. and Kriouile, A.}
}
@conference { ISI:000290179300057,
	title = {Highlights{\textquoteright} Recognition and Learning in Soccer Video by Using Hidden Markov Models and the Bayesian Theorem},
	booktitle = {2009 INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS 2009)},
	year = {2009},
	note = {International Conference on Multimedia Computing and Systems, Ouarzazate, MOROCCO, APR 02-04, 2009},
	pages = {304-308},
	abstract = {Our paper presents a new approach for the recognition of highlights in soccer video. Our contribution consists of the combination of Bayesian theorem inferences and Hidden Markov Models (HMMs). We build HMMs to calculate probabilities that a test video segment belongs to highlight and non highlight classes. Then, we apply the Bayesian theorem on the two previous probabilities. Our system has achieved an accuracy of 95.6\% which is a good result of highlights detection in comparison with other methods.},
	isbn = {978-1-4244-3756-6},
	doi = {10.1109/MMCS.2009.5256682},
	author = {El Ouazzani, Rajae and Thami, Rachid Oulad Haj}
}
