Publications

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I. Kharchouf, Essadki, A., Arbaoui, M., et Nasser, T., « Modeling and PI Control Strategy of DFIG Based Wind Energy Conversion Systems », in Proceedings of 2017 International Renewable and Sustainable Energy Conference, IRSEC 2017, 2018.
I. Kharchouf, Nasser, T., Essadki, A., et Fdaili, M., « Adaptive Fuzzy-PI Control of Wind Energy Conversion System Based DFIG under Voltage Dip », in 2020 International Conference on Electrical and Information Technologies, ICEIT 2020, 2020.
M. Kharbouch, Idri, A., Rachad, T., Alami, H., Redman, L., et Stelate, Y., « Mobile Technology for Improved Contraceptive Care in Morocco », Journal of Medical Systems, vol. 45, 2021.
M. Kharbouch, Idri, A., Redman, L., Alami, H., Fernandez-Aleman, J. L., et Toval, A., « Software Requirement Catalog on Acceptability, Usability, Internationalization and Sustainability for Contraception mPHRs », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12252 LNCS, p. 894-905, 2020.
M. Kharbouch, Idri, A., Rachad, T., Alami, H., Redman, L., et Stelate, Y., « MyContraception: An Evidence-Based Contraception mPHR for Better Contraceptive Fit », Advances in Intelligent Systems and Computing, vol. 1161 AISC, p. 86-94, 2020.
M. Kharbouch, Idri, A., Fernandez-Aleman, J. L., Redman, L., Toval, A., et Stelate, Y., « Reviewing the features and functionalities of contraception mPHRs », Health Policy and Technology, vol. 11, 2022.
A. Kharbouch, Berouine, A., Elkhoukhi, H., Berrabah, S., Bakhouya, M., D. Ouadghiri, E., et Gaber, J., « Internet-of-Things Based Hardware-in-the-Loop Framework for Model-Predictive-Control of Smart Building Ventilation », Sensors, vol. 22, 2022.
B. Khaoula, Mohammed, E. A., et Youssef, B., « The integrated multi-plant production routing problem with simultaneous delivery and pickup », in Proceedings - 2020 5th International Conference on Logistics Operations Management, GOL 2020, 2020.
I. Khaouja, Kassou, I., et Ghogho, M., « A Survey on Skill Identification from Online Job Ads », IEEE Access, vol. 9, p. 118134-118153, 2021.
A. Khannat, Sbaï, H., et Kjiri, L., « Configurable Process Mining: Semantic Variability in Event Logs », in International Conference on Enterprise Information Systems, ICEIS - Proceedings, 2021, vol. 1, p. 768-775.
A. Khannat, Sbaï, H., et Kjiri, L., « Event logs pre-processing for configurable process discovery: Ontology-based approach », in Colloquium in Information Science and Technology, CIST, 2020, vol. 2020-June, p. 139-144.
A. Khannat, Sbaï, H., et Kjiri, L., « Towards mining semantically enriched configurable process models », in ACM International Conference Proceeding Series, 2020, p. 20-24.
E. D. Khamlichi, Touhami, N. A., Elhamadi, T., et M. Ennasar, A., « High-gain and broadband SIW cavity-backed slots antenna for X-band applications », International Journal of Microwave and Wireless Technologies, vol. 13, p. 1078-1085, 2021.
A. Khaled et Janati-Idrissi, M. A., « SEVALERPS a new EX-ANTE multi-criteria method for ERP selection », International Review on Computers and Software, vol. 8, p. 2477-2485, 2013.
A. Khaled et Idrissi, M. Abdou Jana, « Proposition of a new ex-ante evaluation method for adapting and selecting ERP solutions. », E-Ti: E-Review in Technologies Information, p. 34 - 47, 2015.
A. Khaled et Idrissi, M. A. J., A semi-structured methodology for ERP system selection based on MACBETH and choquet integral applied to small and medium sized enterprises. 2013, p. 166-185.
A. Khaled et M. Idrissi, A. Janati, « A learning driven model for ERP software selection based on the Choquet integral: Small and medium enterprises context », Communications in Computer and Information Science, vol. 194 CCIS, p. 358-371, 2011.
A. Khaled et Idrissi, M. Abdou Jana, « A Learning Driven Model for ERP Software Selection Based on the Choquet Integral: Small and Medium Enterprises Context », in DIGITAL ENTERPRISE AND INFORMATION SYSTEMS, 2011, vol. 194, p. 358-371.
A. Khaled et Idrissi, M. A. J., « A framework for ERP evaluation and selection using macbeth technique », in ICEIS 2011 - Proceedings of the 13th International Conference on Enterprise Information Systems, 2011, vol. 1 DISI, p. 339-342.
R. Khaldi, Alcaraz-Segura, D., Guirado, E., Benhammou, Y., A. Afia, E., Herrera, F., et Tabik, S., « TimeSpec4LULC: a global multispectral time series database for training LULC mapping models with machine learning », Earth System Science Data, vol. 14, p. 1377-1411, 2022.
R. Khaldi, Afia, A. E., et Chiheb, R., « Forecasting of weekly patient visits to emergency department: Real case study », in Procedia Computer Science, 2019, vol. 148, p. 532-541.
R. Khaldi, Afia, A. E., Chiheb, R., et Faizi, R., « Forecasting of bitcoin daily returns with eemd-elman based model », in ACM International Conference Proceeding Series, 2018.
R. Khaldi, Chiheb, R., et Afia, A. E., « Feedforward and recurrent neural networks for time series forecasting: Comparative study », in ACM International Conference Proceeding Series, 2018.
R. Khaldi, Chiheb, R., A. Afia, E., Akaaboune, A., et Faizi, R., « Prediction of supplier performance: A novel DEA-ANFIS based approach », in ACM International Conference Proceeding Series, 2017, vol. Part F129474.
R. Khaldi, A. Afia, E., Chiheb, R., et Faizi, R., « Artificial neural network based approach for blood demand forecasting: Fez transfusion blood center case study », in ACM International Conference Proceeding Series, 2017, vol. Part F129474.

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