Abstract: Despite the prevalence of reconstruction-based deep learning methods, time-series anomaly detection (TSAD) remains a tremendous challenge. Existing approaches often struggle with limited ...
Abstract: In the modern world, robots have become increasingly essential across various industries. Activity monitoring has emerged as a key method for diagnosing environmental conditions and ...
With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...
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