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A. El Alami, Sadok, H., et Elhaoud, N., « Cloud computing & the organizational performance Different approach of assessment », in 2015 INTERNATIONAL CONFERENCE ON CLOUD TECHNOLOGIES AND APPLICATIONS (CLOUDTECH 15), 2015, p. 318-322.
K. A. AlAfandy, Omara, H., El-Sayed, H. S., Baz, M., Lazaar, M., Faragallah, O. S., et M. Achhab, A., « Efficient Classification of Remote Sensing Images Using Two Convolution Channels and SVM », Computers, Materials and Continua, vol. 72, p. 739-753, 2022.
K. A. AlAfandy, Omara, H., Lazaar, M., et Achhab, M. A., « Investment of classic deep CNNs and SVM for classifying remote sensing images », Advances in Science, Technology and Engineering Systems, vol. 5, p. 652-659, 2020.
K. A. AlAfandy, Omara, H., Lazaar, M., et Achhab, M. A., « Using classic networks for classifying remote sensing images: Comparative study », Advances in Science, Technology and Engineering Systems, vol. 5, p. 770-780, 2020.
M. El Akrouchi, Benbrahim, H., et Kassou, I., « Early Warning Signs Detection in Competitive Intelligence », in INNOVATION VISION 2020: FROM REGIONAL DEVELOPMENT SUSTAINABILITY TO GLOBAL ECONOMIC GROWTH, VOL I-VI, 2015, p. 1014-1024.
E. M. Akrouchi, Benbrahim, H., et Kassou, I., « Monitoring Early Warning Signs Evolution through Time », in ACM International Conference Proceeding Series, 2020.
E. M. Akrouchi, Benbrahim, H., et Kassou, I., « End-to-end LDA-based automatic weak signal detection in web news », Knowledge-Based Systems, vol. 212, 2021.
E. M. Akrouchi, Benbrahim, H., et Kassou, I., « Review on adopting concept extraction in weak signals detection in competitive intelligence », in ACM International Conference Proceeding Series, 2021.
M. E. Ka Ajana, Mohammed, Eab, et Boulmalf, Mc, Middleware architecture in WSN. 2015, p. 69-94.
M. E. Ajana, Harroud, H., Boulmalf, M., et Elkoutbi, M., « FlexRFID middleware in the supply chain: Strategic values and challenges », International Journal of Mobile Computing and Multimedia Communications, vol. 3, p. 19-32, 2011.
L. Ajallouda, Hourrane, O., Zellou, A., et Benlahmar, E. H., « Toward a New Process for Candidate Key-Phrases Extraction », Lecture Notes in Networks and Systems, vol. 455 LNNS, p. 466-474, 2022.
L. Ajallouda, Fagroud, F. Z., Zellou, A., et Benlahmar, E. H., « A Systematic Literature Review of Keyphrases Extraction Approaches », International Journal of Interactive Mobile Technologies, vol. 16, p. 31-58, 2022.
L. Ajallouda, Najmani, K., Zellou, A., et Benlahmar, E. H., « Doc2Vec, SBERT, InferSent, and USE Which embedding technique for noun phrases? », in 2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2022, 2022.
L. Ajallouda, Fagroud, F. Z., Zellou, A., et Benlahmar, E. H., « Automatic Key-Phrase Extraction: Empirical Study of Graph-Based Methods », Lecture Notes in Networks and Systems, vol. 489 LNNS, p. 440-456, 2022.
L. Ajallouda, Fagroud, F. Z., Zellou, A., et Lahmar, E. B., « KP-USE: An Unsupervised Approach for Key-Phrases Extraction from Documents », International Journal of Advanced Computer Science and Applications, vol. 13, p. 283-289, 2022.
L. Ajallouda, Fagroud, F. Z., Zellou, A., et Benlahmar, E. H., « K-means hac and fcm which clustering approach for arabic text? », in ACM International Conference Proceeding Series, 2020, p. 169-174.
L. Ajallouda et Zellou, A., « Present and absent keyphrases extraction: an approach based on sentence embedding », Indonesian Journal of Electrical Engineering and Computer Science, vol. 28, p. 1601-1612, 2022.
W. Aitfares, Kobbane, A., et Kriouile, A., « Suspicious behavior detection of people by monitoring camera », in International Conference on Multimedia Computing and Systems -Proceedings, 2017, p. 113-117.
E. O. Aissaoui, Y. Madani, E. Alami El, Oughdir, L., Dakkak, A., et Y. Allioui, E., « A Multiple Linear Regression-Based Approach to Predict Student Performance », Advances in Intelligent Systems and Computing, vol. 1102 AISC, p. 9-23, 2020.
E. O. Aissaoui, Y. Madani, E. Alami El, Oughdir, L., Dakkak, A., et Y. Allioui, E., « Mining Learners’ Behaviors: An Approach Based on Educational Data Mining Techniques », Advances in Intelligent Systems and Computing, vol. 1076, p. 655-670, 2020.
O. E. Aissaoui, Y. Madani, E. Alami El, Oughdir, L., Dakkak, A., et Y. Allioui, E., « Toward a hybrid machine learning approach for extracting and clustering learners’ behaviours in adaptive educational system », International Journal of Computing Science and Mathematics, vol. 12, p. 117-131, 2020.
O. E. Aissaoui, Madani, Y. E. A. El, Oughdir, L., et Allioui, Y. E., « Combining supervised and unsupervised machine learning algorithms to predict the learners' learning styles », in Procedia Computer Science, 2019, vol. 148, p. 87-96.
M. M. E. El Aichi et Kettani, M. D. E. - C. El, « Maturity models transition from eGovernment interoperability to t-government: Restyling dynamic public services through integrated transformation of service delivery », in Proceedings of the European Conference on e-Government, ECEG, 2011, p. 591-602.
M. M. E. El Aichi, « Moroccan E-government ten years evolutions », in ACM International Conference Proceeding Series, 2012, p. 492-493.
M. Mohyi Eddi Aichi et Kettani, M. Dafir Ech-, « Maturity Models Transition from eGovernment Interoperability to T-Government: Restyling Dynamic Public Services Through Integrated Transformation of Service Delivery », in PROCEEDINGS OF THE 11TH EUROPEAN CONFERENCE ON EGOVERNMENT, 2011, p. 591-602.

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