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A. Kenzi, B. Asri, E., Nassar, M., et Kriouile, A., « A model driven framework for multiview service oriented system development », in 2009 IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2009, 2009, p. 404-411.
A. Kenzi, Asri, B. E., Nassar, M., et Kriouile, A., « The multiview service : A new concept for the development of adaptable Service Oriented systems », in Proceedings of the 4th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2008, 2008, p. 38-43.
A. Kenzi, B. Asri, E., Nassar, M., et Kriouile, A., « Multi-functional service oriented system development for user-driven adaptability », in 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA, 2008.
A. Kenzi, Asri, B. El, Nassar, M., et Kriouile, A., « Multi-functional service oriented system development for user-driven adaptability », in 2008 3RD INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES: FROM THEORY TO APPLICATIONS, VOLS 1-5, 2008, p. 1431-1437.
K. Akpédjé Kedji, Lbath, R., Coulette, B., Nassar, M., Baresse, L., et Racaru, F., « Supporting collaborative development using process models: a tooled integration-focused approach. », Journal of Software: Evolution & Process, vol. 26, p. 890 - 909, 2014.
K. A. Kedji, That, M. T. T., Coulette, B., Lbath, R., Tran, H. N., et Nassar, M., « Towards a tool-supported approach for collaborative process modeling and enactment », in Proceedings - Asia-Pacific Software Engineering Conference, APSEC, 2011, p. 414-421.
T. Kawtar, Said, A., et Youssef, B., « Stochastic Model Predictive Control for costs optimization in a supply chain under a stochastic demand », in Proceedings of 2nd IEEE International Conference on Logistics Operations Management, GOL 2014, 2014, p. 171-175.
I. Kawtar, Karim, D., et Salah, B., « Impact of Change in Business IT Alignment: Evaluation with CBITA Tool », International Journal of Advanced Computer Science and Applications, vol. 11, p. 495-504, 2020.
I. Kawtar, Karim, D., et Salah, B., « Algorithms to analyze the impact of change on Enterprise Architecture », in Procedia Computer Science, 2021, vol. 196, p. 356-363.
T. Kawtar, Said, A., et Youssef, B., « Stochastic Model Predictive Control for costs optimization in a supply chain under a stochastic demand », in PROCEEDINGS OF 2014 2ND IEEE INTERNATIONAL CONFERENCE ON LOGISTICS AND OPERATIONS MANAGEMENT (GOL 2014), 2014, p. 172-175.
A. Katkout, Nasser, T., et Essadki, A., « Robust Multiobjective Model Predictive Control with Computation Delay Compensation for Electric Vehicle Applications Using PMSM with Multilevel Inverter », Mathematical Problems in Engineering, vol. 2020, 2020.
M. Kassou et Kjiri, L., « SOASMM: a Novel Service Oriented Architecture Security Maturity Model », in 2012 INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS), 2012, p. 911-917.
M. Kassou et Kjiri, L., « SOASMM: A novel service oriented architecture Security Maturity Model », in Proceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012, 2012, p. 912-918.
M. Kassou et Kjiri, L., « A maturity metric based approach for eliciting SOA security requirements », in Proceedings of the 2nd National Days of Network Security and Systems, JNS2 2012, 2012, p. 7-11.
M. Kassou et Kjiri, L., « Ingénierie des exigences de la sécurité informatique: Revue de travaux de recherche de l'élicitation à la spécification. », E-Ti: E-Review in Technologies Information, p. 17 - 31, 2012.
N. Kasmi, Zbakh, M., et Haouari, A., « Performance analysis of preconditioned conjugate gradient solver on heterogeneous (multi-CPUs/multi-GPUs) architecture », Lecture Notes in Networks and Systems, vol. 49, p. 318-336, 2019.
Na Kasmi, Zbakh, Ma, Mahmoudi, S. Ab, et Manneback, Pb, « Taking advantage of GPU/CPU architectures for sparse Conjugate Gradient solver computation », in Proceedings of 2015 IEEE World Conference on Complex Systems, WCCS 2015, 2015.
N. Kasmi, Mahmoudi, S. Ahmed, Zbakh, M., et Manneback, P., « Performance evaluation of sparse matrix-vector product (SpMV) computation on GPU architecture », in 2014 SECOND WORLD CONFERENCE ON COMPLEX SYSTEMS (WCCS), 2014, p. 23-27.
Na Kasmi, Mahmoudi, S. Ab, Zbakh, Ma, et Manneback, Pb, « Performance evaluation of sparse matrix-vector product (SpMV) computation on GPU architecture », in 2014 2nd World Conference on Complex Systems, WCCS 2014, 2014, p. 23-27.
N. Kasmi, Zbakh, M., Samadi, Y., Cherkaoui, R., et Haouari, A., « Performance evaluation of StarPU schedulers with preconditioned conjugate gradient solver on heterogeneous (multi-CPUs/multi-GPUs) architecture », in Proceedings of 2017 International Conference of Cloud Computing Technologies and Applications, CloudTech 2017, 2018, vol. 2018-January, p. 1-6.
Za Kartit, Azougaghe, Ab, Idrissi, H. Ka, Marraki, M. Ea, Hedabou, Mc, Belkasmi, Mb, et Kartit, Ad, « Applying encryption algorithm for data security in cloud storage », Lecture Notes in Electrical Engineering, vol. 366, p. 141-154, 2016.
Za Kartit, Marraki, MaEl, Azougaghe, Ab, et Belkasmi, Mb, « Towards a secure electronic voting in cloud computing environment using homomorphic encryption algorithm », International Journal of Applied Engineering Research, vol. 10, p. 37403-37408, 2015.
Z. Kartit, Azougaghe, A., H. Idrissi, K., M. Marraki, E., Hedabou, M., Belkasmi, M., et Kartit, A., « Applying Encryption Algorithm for Data Security in Cloud Storage », in ADVANCES IN UBIQUITOUS NETWORKING, 2016, vol. 366, p. 141-154.
E. I. Karfi et S. Fkihi, E., « An Ensemble of Arabic Transformer-based Models for Arabic Sentiment Analysis », International Journal of Advanced Computer Science and Applications, vol. 13, p. 561-567, 2022.
E. I. Karfi, S. Fkihi, E., et Faizi, R., « A spectral clustering-based approach for sentiment classification in modern standard Arabic », in MCCSIS 2018 - Multi Conference on Computer Science and Information Systems; Proceedings of the International Conferences on Big Data Analytics, Data Mining and Computational Intelligence 2018, Theory and Practice in Modern Computing 2018 and Connected Sma, 2018, p. 59-65.

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