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 ...

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

Preparations for the construction of the first detector module of the Deep Underground Neutrino Experiment are rapidly progressing. Members of the international DUNE collaboration have begun the final ...

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 ...