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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: Over recent years, the frequency and intensity of fire disasters have escalated, underscoring the urgent need for accurate and timely disaster classification and mitigation strategies. The ...

For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...