Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
Abstract: This paper investigates the online identification and data clustering problems for mixed linear regression (MLR) model with two components, including the symmetric MLR, and the asymmetric ...
Abstract: The promising advantages of inductive power transfer are harnessed through modeling techniques. In instances where a system undergoes substantial dynamics, a large-signal model becomes ...
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