Research on a deep learning-based automatic identification system for the fracture fibrous ratio in impact fractures of 9Ni steel
An automated system integrating an improved recursive kernel mean distance (RKMD) denoising algorithm with a Yolov5s-MobileNetV3-convolutional block attention module (CBAM)-gradient-weighted class activation mapping (Grad-CAM) deep-learning model for high-precision FFR calculation is proposed, offering a reliable and e...