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Human resource development and training are essential to improve the quality and skill level of employees.The field craggy range sauvignon blanc 2022 of artificial intelligence focuses on developing the ability of computers to accomplish tasks that can currently be completed faster than humans can.To meet higher standards, Power Generation Companie
Radar-based continuous human activity recognition (HAR) in realistic scenarios faces challenges in segmenting and classifying overlapping or concurrent activities.This paper introduces a feedback-driven adaptive segmentation framework for multi-label classification in continuous HAR, leveraging Bayesian optimization (BO) and reinforcement learning