Abstract: Short-circuit faults in lithium-ion batteries (LIBs) pose serious safety risks, including thermal runaway, making timely detection critical for the safe operation of battery systems, ...

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Abstract: With the rapid growth of residential electricity consumption data, traditional anomaly detection methods suffer from low detection rates and high false alarm rates when detecting ...

Machine Learning project to predict water potability using supervised learning algorithms with data preprocessing, model comparison, and deployment using Gradio. Gradio. data preprocessing, model ...