Abstract: In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-task learning (MTL) models in motor imagery (MI)-based electroencephalography (EEG) ...
Abstract: This paper studies the adaptive control problem for a class of uncertain strict-feedback nonlinear systems, where both tracking error and full states need ...
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