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F. Z. Lahlou, Benbrahim, H., et Kassou, I., « Textual context aware factorization machines: Improving recommendation by leveraging users' reviews », in ACM International Conference Proceeding Series, 2018, p. 64-69.
F. Zahra Lahlou, Benbrahim, H., et Kassou, I., « Improving Recommendations Using Context from Users' Reviews », in INNOVATION MANAGEMENT AND EDUCATION EXCELLENCE VISION 2020: FROM REGIONAL DEVELOPMENT SUSTAINABILITY TO GLOBAL ECONOMIC GROWTH, VOLS I - VI, 2016, p. 3312-3315.
F. Z. Lahlou, Mountassir, A., Benbrahim, H., et Kassou, I., « A Text Classification based method for context extraction from online reviews », in 2013 8th International Conference on Intelligent Systems: Theories and Applications, SITA 2013, 2013.
F. Zahra Lahlou, Mountassir, A., Benbrahim, H., et Kassou, I., « A Text Classification Based Method for Context Extraction from Online Reviews », in 2013 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS: THEORIES AND APPLICATIONS (SITA), 2013.
Y. Lahlou, Fkihi, S. E., et Faizi, R., « Automatic Detection of Fake News on Twitter by Using a New Feature: User Credibility », Lecture Notes in Networks and Systems, vol. 489 LNNS, p. 568-580, 2022.
H. Lahdili et Ismaili, Z. A. A., « New approach for self-parking management system », International Journal of Engineering and Technology(UAE), vol. 7, p. 2765-2772, 2018.
H. Laghridat, Essadki, A., et Nasser, T., « Comparative Analysis between PI and Linear-ADRC Control of a Grid Connected Variable Speed Wind Energy Conversion System Based on a Squirrel Cage Induction Generator », Mathematical Problems in Engineering, vol. 2019, 2019.
H. Laghridat, Essadki, A., Annoukoubi, M., et Nasser, T., « A Novel Adaptive Active Disturbance Rejection Control Strategy to Improve the Stability and Robustness for a Wind Turbine Using a Doubly Fed Induction Generator », Journal of Electrical and Computer Engineering, vol. 2020, 2020.
H. Laghridat, Essadki, A., et Nasser, T., « Coordinated control by ADRC strategy for a wind farm based on SCIG considering low voltage ride-through capability », Protection and Control of Modern Power Systems, vol. 7, 2022.
Y. Laghouaouta, Anwar, A., Nassar, M., et Coulette, B., « A Graph Based Approach to Trace Models Composition. », Journal of Software (1796217X), vol. 9, p. 2813 - 2822, 2014.
Ya Laghouaouta, Nassar, Mb, Anwar, Ac, et Bruel, J. - Md, « On the use of graph transformations for model composition traceability », in Proceedings - International Conference on Research Challenges in Information Science, 2014.
Ya Laghouaouta, Anwar, Ab, Nassar, Ma, et Bruel, J. - Mc, « A generic traceability framework for model composition operation », Lecture Notes in Business Information Processing, vol. 214, p. 461-475, 2015.
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.
Y. Laghouaouta, Anwar, A., et Nassar, M., « A Traceability Approach for Model Composition », in 2013 ACS INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2013.
Ya Laghouaouta, Anwar, Ab, et Nassar, Ma, « A traceability approach for model composition », in Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA, 2013.
F. Lachhab, Essaaidi, M., Bakhouya, M., et Ouladsine, R., « A State-Feedback Approach for Controlling Ventilation Systems in Energy Efficient Buildings », in PROCEEDINGS OF 2015 3RD IEEE INTERNATIONAL RENEWABLE AND SUSTAINABLE ENERGY CONFERENCE (IRSEC'15), 2015, p. 665-670.
F. Lachhab, Bakhouya, M., Ouladsine, R., et Essaaidi, M., « Towards an Intelligent Approach for Ventilation Systems Control using IoT and Big Data Technologies », in Procedia Computer Science, 2018, vol. 130, p. 926-931.
F. Lachhab, Malek, Y. N., Bakhouya, M., Ouladsine, R., et Essaaidi, M., « A Context-Driven Approach using IoT and Big Data Technologies for Controlling HVAC Systems », in 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018, 2018, p. 694-699.
F. Lachhab, Bakhouya, M., Ouladsine, R., et Essaaidi, M., « A context-driven platform using Internet of things and data stream processing for heating, ventilation and air conditioning systems control », Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering, 2019.
F. Lachhab, Essaaidi, M., Bakhouya, M., et Ouladsine, R., « Towards a Context-aware Platform for Complex and. Stream Event Processing », in 2016 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING & SIMULATION (HPCS 2016), 2016, p. 961-966.
F. Lachhab, Bakhouya, M., Ouladsine, R., et Essaaidi, M., « Context-driven monitoring and control of buildings ventilation systems using big data and Internet of Things–based technologies », Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering, vol. 233, p. 276-288, 2019.
O. Lachhab, Di Martino, J., Elhaj, E. H. I., et Hammouch, A., « Real time context-independent phone recognition using a simplified statistical training algorithm », in International Conference on Multimedia Computing and Systems -Proceedings, 2012, vol. 2012-May.
F. Lachhab, Bakhouya, M., Ouladsine, R., et Essaaidi, M., « Performance evaluation of CEP engines for stream data processing », in Proceedings of 2016 International Conference on Cloud Computing Technologies and Applications, CloudTech 2016, 2017, p. 64-69.
F. Lachhab, Ouladsine, R., Bakhouya, M., et Essaaidi, M., « An Energy-Efficient Approach for Controlling Heating and Air-Conditioning Systems », in Proceedings of 2017 International Renewable and Sustainable Energy Conference, IRSEC 2017, 2018.
Fa Lachhab, Essaaidi, Ma, Bakhouya, Mb, et Ouladsine, Rb, « A state-feedback approach for controlling ventilation systems in energy efficient buildings », in Proceedings of 2015 IEEE International Renewable and Sustainable Energy Conference, IRSEC 2015, 2015.

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