Healthcare claims often fail due to small data errors. Mukesh Kumar Mishra has built cloud-based validation and anomaly ...

An end-to-end deep learning system for automated PCB defect detection that combines computer vision with domain expertise. This project demonstrates the practical application of AI in industrial ...

A software workflow automates X-ray analysis to spot crystal defects in diamond and advanced semiconductors, helping improve ...

The dataset is already organized in YOLO format in the steel_dataset/ directory. If you need to reorganize from original format, see utility/reorganize_dataset.py. steel-defect-detection/ ├── ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...

Abstract: Detecting the sealing surface of the reactor pressure vessel is essential for the safety and protection of nuclear energy. The traditional manual detection is inefficient and may cause ...

This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...

Abstract: The bronchoscope apex is small and easy to have dimensional defects. To ensure the quality of bronchoscope products, this paper carries out dimensional defect detection on the key parts of ...