A group of researchers led by the University of Sharjah in the UAE proposed to use the convolutional neural network (CNN) technique to detect temperature and shading-induced faults in PV modules. CNN ...

Smiths Detection has launched iCMORE detection algorithms for lithium batteries and dangerous goods for use by its HI-SCAN 10080 XCT scanner, becoming its first explosive detection system (EDS) to ...

Dr. Christoph Wenge, another research scientist at Fraunhofer IFF, said, “The widest array of faults can occur in the solar ...

Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...

Google research paper describes an algorithm that detects low quality pages, spam content and machine-generated content Algorithm features low resource usage and the ability to handle web-scale ...