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Hybrid Approach for Wind Turbines Power Curve Modeling Founded on Multi-Agent System and Two Machine Learning Algorithms, K-Means Method and the K-Nearest Neighbors, in the Retrieve Phase of the Dynamic Case Based Reasoning., , и . Int. J. Online Biomed. Eng., 18 (6): 110-122 (мая 2022)A Comparative Study of Different Supervised Machine Learning in Predicting of Type 2 Diabetes., , и . NISS, стр. 41:1-41:7. ACM, (2023)Tweets similarity classification based on Machine Learning Algorithms, TF-IDF and the Dynamic Case Based Reasoning., , и . NISS, стр. 67:1-67:6. ACM, (2023)Modelisation and implementation of our system incremental dynamic case based reasoning founded In the MAS under JADE plate-form., , , , , и . ICMCS, стр. 1031-1036. IEEE, (2014)Multi-agent adaptive learning system based on incremental hybrid case-based reasoning (IHCBR)., , и . SCA, стр. 50:1-50:6. ACM, (2019)Guided Retrieve through the K-Nearest Neighbors Method in Adaptive Learning System using the Dynamic Case Based Reasoning Approach., , , и . SCA, стр. 75:1-75:6. ACM, (2018)Incremental dynamic case-based reasoning-MAS: From static to dynamic cycle., и . ICTA, стр. 1-6. IEEE, (2015)Multi-zonal approach clustering based on stable election protocol in heterogeneous wireless sensor networks., , , , и . CIST, стр. 912-917. IEEE, (2016)Implementation of an Adaptive Learning System based on Agents and Web Services., , и . Int. J. Emerg. Technol. Learn., 15 (14): 162-178 (2020)Simulation in random waypoint model scenario of a new alert dissemination protocol based on leach routing protocol., , , и . SCA, стр. 55:1-55:7. ACM, (2019)