This project implements a machine learning pipeline for classifying ECG heartbeat signals into normal and abnormal classes using MATLAB. The system uses signal preprocessing, feature engineering, and ...

Abstract: early and accurate bram tumor diagnostics. The interpretation of MRI scans by hand is usually quite time-consuming and can be facilitated by various errors, so there is a need to create ...

Abstract: Fault diagnosis in industrial systems remains a critical challenge due to complex operational conditions and the need for high accuracy in real-time applications. Traditional deep learning ...

Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained model must be easily interpretable, but often don't work well with large ...

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