Abstract: We study the leader–follower consensus problem in multiagent systems with heterogeneous agent dynamics and multiple internal players per agent, each with distinct and interaffected ...
Abstract: This study presents deep learning models' design, implementation, and evaluation to generate personalized learning paths in educational environments. Data was collected from diverse sources, ...
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