This new technical paper titled “End-to-end deep learning framework for printed circuit board manufacturing defect classification” is from researchers at École de technologie supérieure (ÉTS) in ...

Relying solely on end-of-line testing isn't enough when security, traceability, and mission reliability are vital.

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...

Accurate detection of heavy rail surface defects is crucial to both the economics and safety of railway transportation. However, the inspection of hot-rolled heavy rail presents obstacles that ...