Abstract: Based on deep learning, object detection networks provide an accurate and sensitive method for ensuring the factory quality of insulation pull rods (IPRs). However, the stability of network ...

This project evaluates the performance of the YOLOv8n model in detecting cracks in concrete structures, focusing on the impact of training data quality. The evaluation compares models trained on clean ...

Abstract: Land surface temperature (LST) is a key factor in monitoring and improving thermal environments. However, conventional LST retrieval algorithms have not sufficiently accounted for the cavity ...