AI cancer tools may rely on 'shortcut learning' rather than genuine biological signals

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...
IEEE

Enhanced Deep Learning for Real-Time Fabric Defect Detection in Textile Manufacturing

Abstract: The system enhances the accuracy of fabric defect classification and detection based on enhanced deep learning algorithms such as CNNs like VGG16 and ResNet50. The 16-layer convolutional ...
Tech Xplore

Researchers develop a system that detects subtle defects missed by existing industrial visual inspection

Industrial quality inspection plays a critical role in manufacturing, from ensuring the reliability of electronics and vehicles to preventing costly failures in aerospace and energy systems.
IEEE

Machine Learning-Based High-Voltage Circuit Breaker Defect Classification Utilizing Savitzky–Golay Filter

Abstract: High-voltage circuit breakers (HVCBs) are critical components in power systems to maintain reliable operation. Accurate condition monitoring of HVCBs is vital to reduce maintenance costs and ...