combining multiple deep learning models, such as integrating Mask R-CNN with YOLO, could help reduce false detection rates. Furthermore, repeated road inspections can improve the accuracy of ...

Leveraging Support Vector Machines (SVM) for classification and regression, the model predicts software defects and estimates development costs with high precision. Principal Component Analysis ... by ...

Abstract: Aiming at the problems of low detection accuracy and large model of most current printed circuit board (PCB) defect detection algorithms, which are not conducive to mobile deployment, an ...

MCHNet-RF2D outperforms existing CNN-Transformer hybrid networks by 2.8% and surpasses current fastener defect detection algorithms by 2.9%. In practical deployment on over 40 trains, our model ...