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Y. A. Alaoui, A. Hassouny, E., R. Thami, O. Haj, et Tairi, H., « Human fall detection using von mises distribution and motion vectors of interest points », in ACM International Conference Proceeding Series, 2017, vol. Part F129474.
Sa Alaoui, Idrissi, Y. E. BbEl, et Ajhoun, Ra, « Intentional approach to improve the discovery of Web services », in Proceedings - International Conference on Computer Vision and Image Analysis Applications, ICCVIA 2015, 2015.
A. Y. Alaoui, Tabii, Y., Thami, R. O. H., Daoudi, M., Berretti, S., et Pala, P., « Fall detection of elderly people using the manifold of positive semidefinite matrices », Journal of Imaging, vol. 7, 2021.
S. Alaoui, Idrissi, Y. El Bouzekr, et Ajhoun, R., « Building rich user profile based on intentional perspective », in INTERNATIONAL CONFERENCE ON ADVANCED WIRELESS INFORMATION AND COMMUNICATION TECHNOLOGIES (AWICT 2015), 2015, vol. 73, p. 342-349.
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.
E. A. Alami, Sadok, H., et Elhaoud, N., « Cloud computing & the organizational performance: Different approach of assessment », in Proceedings of 2015 International Conference on Cloud Computing Technologies and Applications, CloudTech 2015, 2015.
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.
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.
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., « Review on adopting concept extraction in weak signals detection in competitive intelligence », in ACM International Conference Proceeding Series, 2021.
E. M. Akrouchi, Benbrahim, H., et Kassou, I., « Monitoring Early Warning Signs Evolution through Time », in ACM International Conference Proceeding Series, 2020.
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.
M. E. Ka Ajana, Mohammed, Eab, et Boulmalf, Mc, Middleware architecture in WSN. 2015, p. 69-94.
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 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.
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 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., « 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 Benlahmar, E. H., « K-means hac and fcm which clustering approach for arabic text? », in ACM International Conference Proceeding Series, 2020, p. 169-174.
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.
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.
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.

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