Scientists at the FMI and the University of California-Santa Cruz have found that similar molecular machineries control daily ...
Abstract: Label distribution learning (LDL), leveraging the label significance (LS), is more appropriate for solving label ambiguity problems than multilabel learning (MLL). However, directly ...
Abstract: This paper addresses the fault-tolerant control problem for polynomial fault systems in the presence of actuator saturation. The fault is modeled as a polynomial function, and the state and ...
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