Nanowerk

AI framework predicts hidden defects that weaken metal 3D-printed parts

A new AI framework predicts microscopic defects in metal 3D printing, forecasting part strength in seconds and cutting ...

Experimentally validated AI model predicts virulence of tomato yellow leaf curl virus

A CBBL research team led by Professor Balachandran Manavalan from the Department of Integrative Biotechnology at Sungkyunkwan ...
IEEE

Autonomous Road Defects Segmentation Using Transformer-Based Deep Learning Models With Custom Dataset

Abstract: Potholes and cracks on road surfaces pose significant safety hazards and lead to increased vehicle maintenance costs and reduced roadway lifespans if not promptly addressed. Automated ...
IEEE

Real-Time Industrial Metallic Surface Defect Detection Using Attention Mechanisms and Multi-Scale Feature Fusion

Abstract: Real-time defect detection is crucial in manufacturing to maintain product quality. Existing advanced models often face a trade-off between accuracy and inference speed, limiting their ...