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Enhancement of Neural Network Based Multi Agent System for Classification and Regression in Energy System.

, , , , and . IEEE Access, (2020)

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A Survey of Federated Learning From Data Perspective in the Healthcare Domain: Challenges, Methods, and Future Directions., , , , , , , and . IEEE Access, (2023)An ELM based multi-agent system and its applications to power generation., , , , , and . Intell. Decis. Technol., 12 (2): 163-171 (2018)A Comprehensive Survey on Vehicular Networking: Communications, Applications, Challenges, and Upcoming Research Directions., , , , and . IEEE Access, (2022)Detection of Corona Faults in Switchgear by Using 1D-CNN, LSTM, and 1D-CNN-LSTM Methods., , , , , , , , and . Sensors, 23 (6): 3108 (March 2023)An ELM Based Multi Agent Systems Using Certified Belief in Strength., , , and . ICONIP (3), volume 8836 of Lecture Notes in Computer Science, page 458-465. Springer, (2014)Fault Detection for Medium Voltage Switchgear Using a Deep Learning Hybrid 1D-CNN-LSTM Model., , , , , , , , , and . IEEE Access, (2023)Enhancement of Neural Network Based Multi Agent System for Classification and Regression in Energy System., , , , and . IEEE Access, (2020)An ELM based Multi-Agent System and its applications to power generation., , , , , and . Intell. Decis. Technol., 11 (3): 297-305 (2017)