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B
Sa Ben Chekroun, Sabir, Eb, Kobbane, Ac, Tembine, Hd, Bouyakhf, E. - Ha, et Ibrahimi, Ke, « A distributed open-close access for Small-Cell networks: A random matrix game analysis », in IWCMC 2015 - 11th International Wireless Communications and Mobile Computing Conference, 2015, p. 320-325.
S. Ben Chekroun, Sabir, E., Kobbane, A., Tembine, H., Bouyakhf, E. - H., et Ibrahimi, K., « A Distributed Open-Close Access for Small-Cell Networks: A Random Matrix Game Analysis », in 2015 INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2015, p. 320-325.
H. Benbriqa, Abnane, I., Idri, A., et Tabiti, K., « Deep and Ensemble Learning Based Land Use and Land Cover Classification », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12951 LNCS, p. 588-604, 2021.
H. Benhar, Idri, A., et Fernández-Alemán, J. L., « Data preprocessing for heart disease classification: A systematic literature review », Computer Methods and Programs in Biomedicine, vol. 195, p. 105635, 2020.
H. Benhar, Idri, A., et Fernández-Alemán, J. L., « Data preprocessing for heart disease classification: A systematic literature review. », Computer Methods and Programs in Biomedicine, vol. 195, 2020.
H. Benhar, Idri, A., et Fernandez-Aleman, J. L., « Data preprocessing for decision making in medical informatics: Potential and analysis », Advances in Intelligent Systems and Computing, vol. 746, p. 1208-1218, 2018.
Ya Benkaouz, Erradi, Ma, et Freisleben, Bb, « Distributed privacy-preserving data aggregation via anonymization », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9466, p. 94-108, 2015.
Y. Benkaouz et Erradi, M., « A distributed protocol for privacy preserving aggregation with non-permanent participants. », Computing, vol. 97, p. 893 - 912, 2015.
Y. Benkaouz et Erradi, M., « A distributed protocol for privacy preserving aggregation with non-permanent participants », COMPUTING, vol. 97, p. 893-912, 2015.
Y. Benkaouz et Erradi, M., « A distributed protocol for privacy preserving aggregation with non-permanent participants », Computing, vol. 97, p. 893-912, 2015.
S. Benlakhdar, Rziza, M., et Thami, R. O. H., « Directional data classification using a hierarchical model of von Mises distribution », in ACM International Conference Proceeding Series, 2017, vol. Part F129474.
A. Berahhou et Benadada, Y., « Dynamic Vehicle Routing Problem with Simultaneous Delivery and Pickup, Overtime and Inventory Restriction: Golden Ball Algorithm », in 2022 IEEE 6th International Conference on Logistics Operations Management, GOL 2022, 2022.
A. Berahhou et Benadada, Y., « Dynamic vehicle routing problem with simultaneous delivery and pickup: Formulation and resolution », in Proceedings - 2020 5th International Conference on Logistics Operations Management, GOL 2020, 2020.
H. Berbia, Belkasmi, M., Elbouanani, F., et Ayoub, F., « On the decoding of convolutional codes using genetic algorithms », in Proceedings of the International Conference on Computer and Communication Engineering 2008, ICCCE08: Global Links for Human Development, 2008, p. 667-671.
C. Boudagdigue, Benslimane, A., Kobbane, A., et Elmachkour, M., « A Distributed Advanced Analytical Trust Model for IoT », in IEEE International Conference on Communications, 2018, vol. 2018-May.
S. Bouzbita, A. Afia, E., Faizi, R., et Zbakh, M., « Dynamic adaptation of the ACS-TSP local pheromone decay parameter based on the Hidden Markov Model », in Proceedings of 2016 International Conference on Cloud Computing Technologies and Applications, CloudTech 2016, 2017, p. 344-349.
J. D. Bustos-Vanegas, Corrêa, P. C., Martins, M. A., Baptestini, F. M., Campos, R. C., de Oliveira, G. H. H., et Nunes, E. H. M., « Developing predictive models for determining physical properties of coffee beans during the roasting process », Industrial Crops and Products, vol. 112, p. 839-845, 2018.
C
F. Chaker, Manouar, A. E., et Idrissi, M. A. J., « The dynamic adaptive sustainability balanced scorecard: A new framework for a sustainability-driven strategy », International Journal of Applied Engineering Research, vol. 12, p. 6182-6191, 2017.
I. Chlioui, Idri, A., et Abnane, I., « Data preprocessing in knowledge discovery in breast cancer: systematic mapping study », Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, vol. 8, p. 547-561, 2020.
E
I. Elaalyani et Erradi, M., « Deep Neural Networks for Medical Images », in Networked Systems, NETYS 2016, 2016, vol. 9944, p. 382.
B. Elbhiri, Rachid, S., S. Fkihi, E., et Aboutajdine, D., « Developed Distributed Energy-Efficient Clustering (DDEEC) for heterogeneous wireless sensor networks », in 2010 5th International Symposium on I/V Communications and Mobile Networks, ISIVC 2010, 2010.

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