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M. Sayagh, Kerzazi, N., Adams, B., et Petrillo, F., « Software Configuration Engineering in Practice Interviews, Survey, and Systematic Literature Review », IEEE Transactions on Software Engineering, vol. 46, p. 646-673, 2020.
M. Sayagh, Kerzazi, N., Petrillo, F., Bennani, K., et Adams, B., « What should your run-time configuration framework do to help developers? », Empirical Software Engineering, vol. 25, p. 1259-1293, 2020.
M. Sayagh, Kerzazi, N., et Adams, B., « On cross-stack configuration errors », in Proceedings - 2017 IEEE/ACM 39th International Conference on Software Engineering, ICSE 2017, 2017, p. 255-265.
M. Sarhani et Afia, A. El, « Feature selection and parameter optimization of support vector regression for electric load forecasting », in 2016 INTERNATIONAL CONFERENCE ON ELECTRICAL AND INFORMATION TECHNOLOGIES (ICEIT), 2016, p. 288-293.
M. Sarhani et A. Afia, E., « Intelligent system based support vector regression for supply chain demand forecasting », in 2014 2nd World Conference on Complex Systems, WCCS 2014, 2014, p. 79-83.
M. Sarhani et Afia, A. E., « Generalization enhancement of support vector regression in electric load forecasting with model selection », in ACM International Conference Proceeding Series, 2018.
M. Sarhani, Ezzinbi, O., Afia, A. El, et Benadada, Y., « Particle swarm optimization with a mutation operator for solving the preventive aircraft maintenance routing problem », in PROCEEDINGS OF THE 3RD IEEE INTERNATIONAL CONFERENCE ON LOGISTICS OPERATIONS MANAGEMENT (GOL'16), 2016.
M. Sarhani et A. Afia, E., « An extension of X13-ARIMA-SEATS to forecast islamic holidays effect on logistic activities », in Proceedings of 2nd IEEE International Conference on Logistics Operations Management, GOL 2014, 2014, p. 79-84.
M. Sarhani, A. Afia, E., et Faizi, R., « Facing the feature selection problem with a binary PSO-GSA approach », Operations Research/ Computer Science Interfaces Series, vol. 62, p. 447-462, 2018.
M. Sarhani et Afia, A. El, « Intelligent System Based Support Vector Regression For Supply Chain Demand Forecasting », in 2014 SECOND WORLD CONFERENCE ON COMPLEX SYSTEMS (WCCS), 2014, p. 79-83.
M. Sarhani, A. Afia, E., et Faizi, R., « Facing the feature selection problem with a binary PSO-GSA approach », Operations Research/ Computer Science Interfaces Series, vol. 62, p. 447-462, 2018.
M. Sarhani, Ezzinbi, O., Afia, A. E., et Benadada, Y., « Particle swarm optimization with a mutation operator for solving the preventive aircraft maintenance routing problem », in Proceedings of the 3rd IEEE International Conference on Logistics Operations Management, GOL 2016, 2016.
M. Sarhani et A. Afia, E., « Electric load forecasting using hybrid machine learning approach incorporating feature selection », in CEUR Workshop Proceedings, 2015, vol. 1580, p. 1-7.
M. Sarhani et A. Afia, E., « Feature selection and parameter optimization of support vector regression for electric load forecasting », in Proceedings of 2016 International Conference on Electrical and Information Technologies, ICEIT 2016, 2016, p. 288-293.
M. Sarhani et Afia, A. El, « An Extension of X13-ARIMA-SEATS to Forecast Islamic Holidays Effect on Logistic Activities », in PROCEEDINGS OF 2014 2ND IEEE INTERNATIONAL CONFERENCE ON LOGISTICS AND OPERATIONS MANAGEMENT (GOL 2014), 2014, p. 79-84.
L. Sardi, Idri, A., Rachad, T., Redman, L., et Alami, H., « Gamified e-Health Solution to Promote Postnatal Care in Morocco », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12252 LNCS, p. 931-946, 2020.
L. Sardi, Idri, A., Readman, L. M., Alami, H., Bezad, R., et Fernandez-Aleman, J. L., « Mobile health applications for postnatal care: Review and analysis of functionalities and technical features », Computer Methods and Programs in Biomedicine, vol. 184, 2020.
L. Sardi, Idri, A., et Fernandez-Aleman, J. L., « Gamified mobile blood donation applications », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10208 LNCS, p. 165-176, 2017.
L. Sardi, Idri, A., Redman, L. M., Alami, H., Bezad, R., et Fernández-Alemán, J. Luis, « Mobile health applications for postnatal care: Review and analysis of functionalities and technical features », Computer Methods and Programs in Biomedicine, vol. 184, p. 105114, 2020.
L. Sardi, Idri, A., Redman, L. M., Alami, H., et Fernandez-Aleman, J. L., « A Reusable Catalog of Requirements for Gamified Mobile Health Applications », in International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE - Proceedings, 2022, p. 435-442.
L. Sardi, Idri, A., et Fernandez-Aleman, J. L., « A systematic review of gamification in e-Health », Journal of Biomedical Informatics, vol. 71, p. 31-48, 2017.
A. Sara, Y. Idrissi, E. Bouzekri E., et Ajhoun, R., « Time aware recommendation », in Proceedings - 6th International Conference on Information and Communication Technology for the Muslim World, ICT4M 2016, 2017, p. 244-247.
Aa Sara, Idrissi, YbEl Bouzekr, et Ajhoun, Ra, « Time aware recommendation », in Proceedings - 6th International Conference on Information and Communication Technology for the Muslim World, ICT4M 2016, 2016, p. 244-247.
A. Saoud et Bellabdaoui, A., « Model of distributed hierarchical framework for carrier collaboration », in 2017 International Colloquium on Logistics and Supply Chain Management: Competitiveness and Innovation in Automobile and Aeronautics Industries, LOGISTIQUA 2017, 2017, p. 160-165.
A. Saoud et Bellabdaoui, A., « DSS design for carrier collaboration using Big graph IOT », in 2018 International Colloquium on Logistics and Supply Chain Management, LOGISTIQUA 2018, 2018, p. 211-215.

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