Abstract: Imbalanced data classification remains a fundamental challenge in machine learning, especially in multi-class scenarios where feature noise, class overlap, and small disjunct sub-concepts ...
Abstract: This article investigates the problem of practical predefined-time formation tracking for multiple autonomous surface vehicles facing the case of lumped uncertainties (namely, model ...
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