Tag: fault detection

Researchers have developed a semi-supervised deep learning method that automatically detects and vectorizes faults and geological boundaries on archived scanned ...

A new framework combines explainable graph neural networks with bio-inspired repair algorithms to detect, diagnose, and autonomously heal faults in ...

Researchers have developed a noise-robust over-sampling method called mZ-cEAMD that outperforms SMOTE-based techniques in classifying defective car transmissions from severely ...