Abstract: As a noninvasive detection method, speed signature analysis for servo motor bearing fault detection has attracted much attention in recent years. The selection of the optimal demodulation ...
Abstract: The growth of Python adoption across diverse domains has led to increasingly complex codebases, presenting challenges in maintaining code quality. While numerous tools attempt to address ...
This project trains machine learning models to predict cancer malignancy and, if malignant, classify the subtype. It provides a Streamlit app with three modes: manual input, CSV upload, and accuracy ...