Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...
Abstract: This work presents a deep learning-based strategy to recognize changes and classify six fundamental groups for land-cover: non-vegetated ground surface, tree, low vegetation, water, ...
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