Machine learning enables real-time PCB defect detection using a FOMO model on a Raspberry Pi. Learn how with this ...

Advances in deep learning have transformed the field of infrastructure maintenance, particularly in the automated detection and characterisation of defects in sewer pipelines. Leveraging large volumes ...

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 ...

Researchers from Northwestern University, University of Virginia, Carnegie Mellon University, and Argonne National Laboratory have made a significant advancement in defect detection and process ...

The contemporary fast-moving high-tech environment brings a strong urgency to efficient management of defects within software in relation to maintaining software quality and integrity. With every ...