Abstract: High-quality, diversified, and large-scale datasets are crucial for creating reliable deep-learning models for biometric applications. Unfortunately, there is a shortage of well-labeled data ...
Diagnostic accuracy comparisons across models under different conditions were conducted using Chi-square tests. Additionally, a survey questionnaire was administered to 11 clinical practitioners ...
Abstract: This article investigates the data-driven control problem of linear time-invariant (LTI) multi-input systems under aperiodic sampling, where the input of the system is determined by the ...
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