Publications

Export 2330 results:
Journal Article
H. Benhar, Idri, A., et Fernández-Alemán, J. L., « Data preprocessing for heart disease classification: A systematic literature review », Computer Methods and Programs in Biomedicine, vol. 195, p. 105635, 2020.
I. Chlioui, Idri, A., et Abnane, I., « Data preprocessing in knowledge discovery in breast cancer: systematic mapping study », Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, vol. 8, p. 547-561, 2020.
M. Elmachkour, Kobbane, A., Sabir, E., Ben-Othman, J., et Koutbi, M. El, « Data traffic-based analysis of delay and energy consumption in cognitive radio networks with and without resource reservation », INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, vol. 28, p. 1316-1328, 2015.
Ma Elmachkour, Kobbane, Aac, Sabir, Eb, Ben-Othman, Jc, et Koutbi, MaEl, « Data traffic-based analysis of delay and energy consumption in cognitive radio networks with and without resource reservation », International Journal of Communication Systems, vol. 28, p. 1316-1328, 2015.
H. Guermah, Guermah, B., Fissaa, T., Hafiddi, H., et Nassar, M., « Dealing with context awareness for service-oriented systems: An ontology-based approach », International Journal of Service Science, Management, Engineering, and Technology, vol. 12, p. 110-131, 2021.
Aa Idri, Abnane, Ia, et Abran, Ab, « Dealing with missing values in software project datasets: A systematic mapping study », Studies in Computational Intelligence, vol. 653, p. 1-16, 2016.
D. E. Majdoubi, Bakkali, H. E., Bensaih, M., et Sadki, S., « A Decentralized Trust Establishment Protocol for Smart IoT Systems », Internet of Things (Netherlands), vol. 20, 2022.
M. Tamir, Chiheb, R., et Ouzayd, F., « A decision support platform based on cross-sorting methods for the selection of modeling methods: Case of the hospital supply chain performance analysis », International Journal of Advanced Computer Science and Applications, vol. 9, p. 475-484, 2018.
M. Belhiah, Benqatla, M. S., et Bounabat, B., « Decision support system for implementing data quality projects », Communications in Computer and Information Science, vol. 584, p. 1-16, 2016.
S. Lhazmir, Oualhaj, O. Ait, Kobbane, A., et Mokdad, L., « A decision-making analysis in UAV-enabled wireless power transfer for IoT networks », Simulation Modelling Practice and Theory, vol. 103, p. 102102, 2020.
S. Lhazmir, Oualhaj, O. A., Kobbane, A., et Mokdad, L., « A decision-making analysis in UAV-enabled wireless power transfer for IoT networks », Simulation Modelling Practice and Theory, vol. 103, 2020.
S. Nouh, Chana, I., et Belkasmi, M., « Decoding of block codes by using genetic algorithms and permutations set », International Journal of Communication Networks and Information Security, vol. 5, p. 201-209, 2013.
Y. Laghouaouta, Anwar, A., Nassar, M., et Coulette, B., « A dedicated approach for model composition traceability », Information and Software Technology, vol. 91, p. 142-159, 2017.
H. Benbriqa, Abnane, I., Idri, A., et Tabiti, K., « Deep and Ensemble Learning Based Land Use and Land Cover Classification », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12951 LNCS, p. 588-604, 2021.
F. - Z. Nakach, Zerouaoui, H., et Idri, A., « Deep Hybrid AdaBoost Ensembles for Histopathological Breast Cancer Classification », Lecture Notes in Networks and Systems, vol. 468 LNNS, p. 446-455, 2022.
H. Zerouaoui et Idri, A., « Deep hybrid architectures for binary classification of medical breast cancer images », Biomedical Signal Processing and Control, vol. 71, 2022.
C. Lahmar et Idri, A., « Deep hybrid architectures for diabetic retinopathy classification », Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 2022.
E. T. Idrissi et Idri, A., « Deep Learning for Blood Glucose Prediction: CNN vs LSTM », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12250 LNCS, p. 379-393, 2020.
Y. Fenjiro et Benbrahim, H., « Deep reinforcement learning overview of the state of the art », Journal of Automation, Mobile Robotics and Intelligent Systems, vol. 12, p. 20-39, 2018.
E. O. Alaoui, Zerouaoui, H., et Idri, A., « Deep Stacked Ensemble for Breast Cancer Diagnosis », Lecture Notes in Networks and Systems, vol. 468 LNNS, p. 435-445, 2022.
Ya Saissi, Zellou, Aab, et Idri, Aac, « Deep web integration: The tip of the iceberg », International Review on Computers and Software, vol. 10, p. 1044-1053, 2015.
Na Assad, Elbhiri, Bb, Faqihi, M. Ac, Ouadou, Ma, et Aboutajdine, Da, « On the deployment quality for multi-intrusion detection in wireless sensor networks », Lecture Notes in Electrical Engineering, vol. 381, p. 469-478, 2016.
Aa Harbouche, Erradi, Mb, et Mokhtari, Ac, « Deriving multi-agent system behavior », International Journal of Software Engineering and its Applications, vol. 7, p. 137-156, 2013.
M. Ouzzif, Erradi, M., et Mountassir, H., « Description of a teleconferencing floor control protocol and its implementation », ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, vol. 21, p. 430-441, 2008.
Aa Zakriti, Touhami, N. Ab, Bargach, Kb, Lamsalli, Ma, et Essaaidi, Mc, « Design and realization of three-pole bandpass filter with spurious response suppression using defected ground structures », Progress In Electromagnetics Research C, vol. 45, p. 87-100, 2013.

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