@article {Labghough2022,
	title = {Mixed RF/FSO SWIPT-based OSLMD Coded AF Cooperative Communication System: Performance Analysis},
	journal = {IEEE Transactions on Green Communications and Networking},
	year = {2022},
	note = {cited By 0},
	pages = {1-1},
	abstract = {In this paper, the performance analysis of simultaneous wireless information and power transfer (SWIPT) using time switching (TS) protocol-based amplify-and-forward (AF) dual-hop mixed radio-frequency/free-space optic (RF/FSO) coded and uncoded communication system (CC and UC) is investigated. Specifically, we look at using the One-Step Majority-Logic Decodable (OSMLD) codes at the source and a majority logic decoding algorithm (MLGD) at the destination, jointly with the use of maximal-ratio combining and SWIPT/TS techniques at the relay. Furthermore, the RF link undergoes Nakagami-m model, while the second-hop is subject to M\&$\#$x00E1;laga-M atmospheric turbulence with the effect of pointing errors. Closed-form and asymptotic formulations for the average bit error probability (ABEP) are obtained in terms of the system parameters for both CC and UC scenarios in addition of the average channel capacity analysis. Computer-based Monte Carlo simulations were used to numerically validate all of the obtained mathematical formulations. Expectedly, it is shown that significant coding gains are achieved using OSMLD codes in comparison with UC. In addition, above a specific threshold of energy efficiency, the system performance gets steady in the high signal-to-noise-ratio regime. Moreover, the decoding method used in this work has been shown to be suitable for the SWIPT/TS-assisted RF/FSO coded AF cooperative communication system where high performance alongside low computational complexity are required. IEEE},
	keywords = {Average bit error probability, Bit error rate, Code, Communications systems, Computer circuits, Cooperative communication, Decodable codes, Decoding, Decoding algorithm, energy efficiency, Energy harvesting, Energy transfer, Errors, Fading channels, Fadings channels, Freespace optics, Intelligent systems, Majority logic decoding, Majority logic decoding algorithm decoding, Malagum-M channel, Maximal-ratio combining, Mixed radio-frequency/free-space optic system, Monte Carlo methods, Nakagami-m fading channels, One-step majority-logic decodable code., Optics systems, Probability, Radiofrequencies, Relay, Signal to noise ratio},
	doi = {10.1109/TGCN.2022.3207096},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139431588\&doi=10.1109\%2fTGCN.2022.3207096\&partnerID=40\&md5=5e23fc48b261f30bd3d69e9c937abedb},
	author = {Labghough, S. and Ayoub, F. and Bouanani, F.E. and Belkasmi, M. and Qaraqe, K.A.}
}
@conference {ElHamlaoui2022424,
	title = {A Model Based Approach for Generating Modular Manufacturing Control Systems Software},
	booktitle = {Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE},
	year = {2022},
	note = {cited By 0},
	pages = {424-427},
	abstract = {Digitalization is transforming manufacturing systems to become more agile and smart thanks to the integration of sensors and connection technologies that help capture data at all phases of a product{\textquoteright}s life cycle. Digitalization promises to improve manufacturing flexibility, quality, productivity, and reliability. However, there is still a significant need of effective methods to develop models that could enhance the capabilities of manufacturing systems. Formal methods and tools are becoming essential to achieve this objective. Within this context, this paper introduces a formal software solution for the automatic generation of modular manufacturing control systems software. The proposed solution leverages software Model-Based Design (MBD) techniques to reduce development effort, time, and human error by automating several manual steps. {\textcopyright} 2022 Knowledge Systems Institute Graduate School. All rights reserved.},
	keywords = {All phase, Component, Control system software, Control systems, Cybe-physical manufacturing, Cyber Physical System, Cyber physicals, Digital subscriber lines, Embedded systems, formal methods, Grafcet, Industry 4.0, Life cycle, Manufacturing control systems, MDE, Metadata, Model based approach, Modulars},
	doi = {10.18293/SEKE2022-151},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137161158\&doi=10.18293\%2fSEKE2022-151\&partnerID=40\&md5=3784648e72d7591498aa74fb97896480},
	author = {El Hamlaoui, M. and Qamsane, Y. and Laghouaouta, Y. and Mishra, A.}
}
@article {Mouchtak20229519,
	title = {Performance Analysis of I/Q Imbalance With Hardware Impairments Over Hyper Fox{\textquoteright}s H-Fading Channels},
	journal = {IEEE Transactions on Wireless Communications},
	volume = {21},
	number = {11},
	year = {2022},
	note = {cited By 0},
	pages = {9519-9536},
	abstract = {Impairments baseband model in-phase and quadrature-phase Imbalance (IQI) and Residual hardware impairments (RHI) are two key factors degrading the performance of wireless communication systems (WCSs), particularly when high-frequency bands are employed, as in 5G systems and beyond. The impact of either IQI or RHI on the performance of various WCSs has been investigated exclusively in a separate way. To fill this gap, in this paper, the joint effect of both IQI and RHI on the performance of a WCS subject to Hyper Fox{\textquoteright}s H-fading (HFHF) channel, is investigated. Such a fading model generalizes most, if not all, of well-known fading and turbulence models. To this end, closed-form expressions for the outage probability (OP), Average channel capacity (ACC) under constant power with optimum rate adaptation (ORA) policy, and average symbol error probability (ASEP) for both coherent and non-coherent modulation schemes are derived. Specifically, all the analytical expressions are derived for three different scenarios: (i) ideal Tx and Rx impaired, (ii) Tx impaired and ideal Rx, and (iii) both Tx and Rx are impaired. Further, asymptotic expressions for OP, ACC under ORA policy, and ASEP are obtained, based on which, insightful discussions on the IQI and RHI impacts are made. α-μ and M{\'a}laga M turbulence with pointing error distribution models have been considered as particular cases of the HFHF distribution. The analytical derivations, endorsed by simulation results, demonstrate that the RF impairments{\textquoteright} effects should be seriously taken into account in the design of next-generation wireless technologies. {\textcopyright} 2002-2012 IEEE.},
	keywords = {\&$\#$x03b1, - \&$\#$x03bc, 5G mobile communication systems, Average symbol error rate, Channel capacity, Channel{\textquoteright}s capacity, Differential quadrature phase-shift-keying, Errors, Fading, Fading channels, Fadings channels, Gray coded differential quadrature phase-shift keying, Hardware, Hyper fox\&$\#$x2019, In-phase and quadrature-phase imbalances, Laga M turbulence, M\&$\#$x00e1, Optical communication, Optical frequency conversion, Optical wavelength conversion, Outage probability, Outages, Phase shift, Phase shift keying, Pointing errors, Probability, Radiofrequencies, Receiver, Reliability analysis, Residual hardware impairment, S H-fading, Symbol error rates, Turbulence models, Wireless communications},
	doi = {10.1109/TWC.2022.3177530},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131718569\&doi=10.1109\%2fTWC.2022.3177530\&partnerID=40\&md5=1b7b499e2631ae9a2916e24c3114412f},
	author = {Mouchtak, Y. and El Bouanani, F. and Qaraqe, K.A.}
}
@conference {Illi2022152,
	title = {On the Secrecy Analysis of a RIS-aided Wireless Communication System Subject to Phase Quantization Errors},
	booktitle = {2022 International Balkan Conference on Communications and Networking, BalkanCom 2022},
	year = {2022},
	note = {cited By 0},
	pages = {152-156},
	abstract = {In this paper, we analyze the physical layer security of a jamming-aided wireless communication system assisted by a reconfigurable intelligent surface (RIS). Our setup consists of a source node communicating with a destination node with the help of a RIS, and under the presence of a malicious passive eavesdropper attempting to overhear the genuine transmission. Furthermore, an external cooperative jammer is incorporated to reinforce the system{\textquoteright}s secrecy by broadcasting an artificial noise to disrupt the eavesdropper; such a noise can be removed at the destination. Finally, we assume that the tunable RIS phases based on the channel estimates are subject to quantization errors. By virtue of the well-adopted Gamma and Exponential distributions approximations, an approximate expression for the system{\textquoteright}s intercept probability (IP) is derived in terms of the main setup parameters. The results show that the greater the number of reflective elements (REs) and jamming power, the better the secrecy, while the number of quantization bits has less impact when exceeding 3 bits. In particular, an IP of 10-3 can be reached with 50 REs even when the legitimate link{\textquoteright}s average signal-to-noise ratio (SNR) is 15 dB below the wiretap channel{\textquoteright}s average SNR. Monte Carlo simulations endorse the derived analytical results. {\textcopyright} 2022 IEEE.},
	keywords = {Cooperative communication, Cooperative jamming, Destination nodes, Eavesdropping, Errors, Intelligent systems, Intercept probability, Jamming, Monte Carlo methods, Network layers, Phase quantization errors, Physical layer security, Probability distributions, Reconfigurable, Reconfigurable intelligent surface, Signal to noise ratio, Source nodes, Wireless communication system},
	doi = {10.1109/BalkanCom55633.2022.9900815},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136129114\&doi=10.1109\%2fBalkanCom55633.2022.9900815\&partnerID=40\&md5=021859cbb6665cc6388da51264628ce6},
	author = {Illi, E. and Qaraqe, M.K. and El Bouanani, F. and Al-Kuwari, S.M.}
}
@article {Bouanani2022,
	title = {On the Secrecy Analysis of Dual-Hop SWIPT-based Multi-Source Underlay Cognitive Radio Networks},
	journal = {IEEE Transactions on Cognitive Communications and Networking},
	year = {2022},
	note = {cited By 0},
	pages = {1-1},
	abstract = {This paper investigates the intercept probability (IP) performance for a dual-hop multi-secondary user (SU) underlay cognitive-radio networks. Whereby, the relay R is self-powered by harvesting energy from secondary sources using the time switching variant (TS) of simultaneous wireless information and power transfer (SWIPT) protocol. Single-antenna SUs are transmitting data to multi-antennas end-user D, performing maximal-ratio combining (MRC) diversity technique, through R in presence of (i) a primary network composed of a primary transmitter (PUt) and receiver (PUr) pair, and (ii) a passive eavesdropper at each hop (i.e., E1 and E2), attempting to overhear the communication. Moreover, we suppose that the second eavesdropper has multiple antennas and employs the MRC technique, that the relay employs the Decode-and-Forward relaying protocol, that the two hops are subject to the Rayleigh fading model, and that the channel state information is fully known at both D and E2. Because of the underlying strategy, the SUs are constantly modifying their transmit powers to prevent interference with primary users. A closed-form expression of the IP is obtained by taking into consideration the correlation between the secrecy capacities for both hops. The impact of other essential factors on IP, such as the transmit power of sources, the fading severity parameter, and the maximum tolerable interference power (MTIP), is also investigated. Specifically, we want to know if the energy harvester (i.e., relay) might improve the security of such a system even more for low MTIP or transmit power of SUs. Monte Carlo simulations verify all of the obtained results, and valuable insights into the secrecy of the considered system are achieved. IEEE},
	keywords = {Channel state information, Cognitive radio, Cognitive radio network, Communication channels (information theory), Dual-hop networks, Eavesdropping, Energy harvesting, Information and power transfers, Intelligent systems, Intercept probability, Intercept probability network, Interference, Internet protocols, Monte Carlo methods, Network layers, Network security, Physical layer security, Radio systems, Rayleigh fading, Receiver, Relay, Secure communication, Signal receivers, Signal to noise ratio, Simultaneous wireless information and power transfer, Underlay cognitive radio network, Underlay cognitive radios},
	doi = {10.1109/TCCN.2022.3217780},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141508701\&doi=10.1109\%2fTCCN.2022.3217780\&partnerID=40\&md5=79af2dcf046827ee8c634d461186ab82},
	author = {Bouanani, F.E. and Lahmar, I. and Ismaili, Z.E.A.A. and Qaraqe, K.A.}
}
@article {HalhoulMerabet2021,
	title = {Corrigendum to {\textquotedblleft}Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques{\textquotedblright} (Renewable and Sustainable Energy Reviews (2021) 144, (11096), (S1364032121002616), (10},
	journal = {Renewable and Sustainable Energy Reviews},
	volume = {145},
	year = {2021},
	note = {cited By 0},
	abstract = {The authors of the paper referred to in the title of this Corrigendum report a typo that slipped in the title of the third column in tables 3, 4, 5, 6, 7, 8, and 9, namely, {\textquotedblleft}Underlying AL/ML Tools{\textquotedblright} which should be corrected to {\textquotedblleft}Underlying AI/ML Tools{\textquotedblright}. We apologize for any confusion or inconvenience this typo may have caused. {\textcopyright} 2021 Elsevier Ltd},
	doi = {10.1016/j.rser.2021.111116},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104661544\&doi=10.1016\%2fj.rser.2021.111116\&partnerID=40\&md5=69c87a9ef7a2e1028872941094f56ec9},
	author = {Halhoul Merabet, G. and Essaaidi, M. and Haddou, M.B. and Qolomany, B. and Qadir, J. and Anan, M. and Al-Fuqaha, A. and Abid, M.R. and Benhaddou, D.}
}
@article {HalhoulMerabet2021,
	title = {Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques},
	journal = {Renewable and Sustainable Energy Reviews},
	volume = {144},
	year = {2021},
	note = {cited By 42},
	abstract = {Building operations represent a significant percentage of the total primary energy consumed in most countries due to the proliferation of Heating, Ventilation and Air-Conditioning (HVAC) installations in response to the growing demand for improved thermal comfort. Reducing the associated energy consumption while maintaining comfortable conditions in buildings are conflicting objectives and represent a typical optimization problem that requires intelligent system design. Over the last decade, different methodologies based on the Artificial Intelligence (AI) techniques have been deployed to find the sweet spot between energy use in HVAC systems and suitable indoor comfort levels to the occupants. This paper performs a comprehensive and an in-depth systematic review of AI-based techniques used for building control systems by assessing the outputs of these techniques, and their implementations in the reviewed works, as well as investigating their abilities to improve the energy-efficiency, while maintaining thermal comfort conditions. This enables a holistic view of (1) the complexities of delivering thermal comfort to users inside buildings in an energy-efficient way, and (2) the associated bibliographic material to assist researchers and experts in the field in tackling such a challenge. Among the 20 AI tools developed for both energy consumption and comfort control, functions such as identification and recognition patterns, optimization, predictive control. Based on the findings of this work, the application of AI technology in building control is a promising area of research and still an ongoing, i.e., the performance of AI-based control is not yet completely satisfactory. This is mainly due in part to the fact that these algorithms usually need a large amount of high-quality real-world data, which is lacking in the building or, more precisely, the energy sector. Based on the current study, from 1993 to 2020, the application of AI techniques and personalized comfort models has enabled energy savings on average between 21.81 and 44.36\%, and comfort improvement on average between 21.67 and 85.77\%. Finally, this paper discusses the challenges faced in the use of AI for energy productivity and comfort improvement, and opens main future directions in relation with AI-based building control systems for human comfort and energy-efficiency management. {\textcopyright} 2021 Elsevier Ltd},
	keywords = {Building-control system, Conditioning systems, Control systems, energy efficiency, Energy savings, Energy utilization, Energy-savings, Heating ventilation and air conditioning, Heating ventilation and air-conditioning system, HVAC, Information management, Intelligent buildings, Intelligent systems, Machine learning, Machine-learning, Occupant, Pattern recognition, Quality control, Systematic literature review, Systematic Review, Thermal comfort},
	doi = {10.1016/j.rser.2021.110969},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103719088\&doi=10.1016\%2fj.rser.2021.110969\&partnerID=40\&md5=252263802ee70f683e9929b1ff76d93a},
	author = {Halhoul Merabet, G. and Essaaidi, M. and Ben Haddou, M. and Qolomany, B. and Qadir, J. and Anan, M. and Al-Fuqaha, A. and Abid, M.R. and Benhaddou, D.}
}
@article {Elhassouni202093,
	title = {The implementation of credit risk scorecard using ontology design patterns and BCBS 239},
	journal = {Cybernetics and Information Technologies},
	volume = {20},
	number = {2},
	year = {2020},
	note = {cited By 4},
	pages = {93-104},
	abstract = {Nowadays information and communication technologies are playing a decisive role in helping the financial institutions to deal with the management of credit risk. There have been significant advances in scorecard model for credit risk management. Practitioners and policy makers have invested in implementing and exploring a variety of new models individually. Coordinating and sharing information groups, however, achieved less progress. One of several causes of the 2008 financial crisis was in data architecture and information technology infrastructure. To remedy this problem the Basel Committee on Banking Supervision (BCBS) outlined a set of principles called BCBS 239. Using Ontology Design Patterns (ODPs) and BCBS 239, credit risk scorecard and applicant ontologies are proposed to improve the decision making process in credit loan. Both ontologies were validated, distributed in Ontology Web Language (OWL) files and checked in the test cases using SPARQL. Thus, making their (re)usability and expandability easier in financial institutions. These ontologies will also make sharing data more effective and less costly. {\textcopyright} 2020 Sciendo. All rights reserved.},
	doi = {10.2478/cait-2020-0019},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091363101\&doi=10.2478\%2fcait-2020-0019\&partnerID=40\&md5=abed4b96951571c6e4dccfb2dbd8e8e2},
	author = {Elhassouni, J. and El Qadi, A. and El Madani El Alami, Y. and El Haziti, M.}
}
@conference {Lakhili201912,
	title = {Deformable 3D Shape Classification Using 3D Racah Moments and Deep Neural Networks},
	booktitle = {Procedia Computer Science},
	volume = {148},
	year = {2019},
	note = {cited By 0},
	pages = {12-20},
	doi = {10.1016/j.procs.2019.01.002},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062651075\&doi=10.1016\%2fj.procs.2019.01.002\&partnerID=40\&md5=4a812fcbc857dbf995b08a055c11fc9d},
	author = {Lakhili, Z. and El Alami, A. and Mesbah, A. and Berrahou, A. and Qjidaa, H.}
}
@conference { ISI:000365128500017,
	title = {CIOSOS: Combined Idiomatic-Ontology Based Sentiment Orientation System for Trust Reputation in E-commerce},
	booktitle = {INTERNATIONAL JOINT CONFERENCE: CISIS{\textquoteright}15 AND ICEUTE{\textquoteright}15},
	series = {Advances in Intelligent Systems and Computing},
	volume = {369},
	year = {2015},
	note = {8th International Conference on Computational Intelligence in Security for Information Systems (CISIS) / 6th International Conference on EUropean Transnational Education (ICEUTE), Burgos, SPAIN, JUN, 2015},
	pages = {189-200},
	publisher = {IEEE Spain Sect; IEEE Syst, Man \& Cybernet Spanish Chapter; Int Federat Computat Log},
	organization = {IEEE Spain Sect; IEEE Syst, Man \& Cybernet Spanish Chapter; Int Federat Computat Log},
	abstract = {Due to the abundant amount of Customer{\textquoteright}s Reviews available in E-commerce platforms, Trust Reputation Systems remain reliable means to determine, circulate and restore the credibility and reputation of reviewers and their provided reviews. In fact before starting the process of Reputation score{\textquoteright}s calculation, we need to develop an accurate Sentiment orientation System able to extract opinion expressions, analyze them and determine the sentiment orientation of the Review and then classify it into positive, negative and objective. In this paper, we propose a novel semi-supervised approach which is a Combined Idiomatic-Ontology based Sentiment Orientation System (CIOSOS) that realizes a domain-dependent sentiment analysis of reviews. The main contribution of the system is to expand the general opinion lexicon SentiWordNet to a custom-made opinion lexicon (SentiWordNet++) with domain-dependent {\textquoteleft}{\textquoteleft}opinion indicators{{\textquoteright}{\textquoteright}} as well as {\textquoteleft}{\textquoteleft}idiomatic expressions{{\textquoteright}{\textquoteright}}. The system relies also on a semi-supervised learning method that uses the general lexicon WordNet to identify synonyms or antonyms of the expanded terms and get their polarities from SentiWordNet and then store them in SentiWordNet++. The Sentiment polarity and the classification of the review provided by the CIOSOS is used as an input of our Reputation Algorithm proposed in previous papers in order to generate the Reputation score of the reviewer. We also provide an improvement in calculation method used to generate a {\textquoteleft}{\textquoteleft}granular{{\textquoteright}{\textquoteright}} reputation score of a feature or subfeature of the product.},
	isbn = {978-3-319-19713-5; 978-3-319-19712-8},
	issn = {2194-5357},
	doi = {10.1007/978-3-319-19713-5\_17},
	author = {Rahimi, Hasnae and El Bakkali, Hanan},
	editor = {Herrero, A and Baruque, B and Sedano, J and Quintian, H and Corchado, E}
}
@article {ElQacimym20151120,
	title = {An efficient segmentation algorithm for handwritten arabic words},
	journal = {International Review on Computers and Software},
	volume = {10},
	number = {11},
	year = {2015},
	note = {cited By 0},
	pages = {1120-1126},
	abstract = {Segmentation is an essential step for many Arabic handwritten Text recognition systems. It has a direct impact on the efficiency of subsequent steps in the recognition process such as feature extraction and classification, which strongly affects overall recognition performance. This paper presents a novel algorithm for off-line handwritten Arabic word segmentation into subwords. This approach is based on vertical projection and a novel algorithm taking into consideration the characteristics of Arabic script. The proposed method has been successfully tested on the IFN/ENIT database and the results show the effectiveness of our approach in segmenting and isolating sub-words efficiently. {\textcopyright} 2015 Praise Worthy Prize S.r.l. -All rights reserved.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84956884338\&partnerID=40\&md5=713325a3fa28f76f89fa8249c846e146},
	author = {El Qacimym, B.a b and Ait Kerroum, M.c d and Hammouch, A.e f g h}
}
