HIGHLIGHTS
- who: Giovanni Cipriani and collaborators from the Institute of Sustainability in Civil Engineering (INaB), RWTH Aachen University, Aachen, Germany have published the paper: Convolutional Neural Network for Dust and Hotspot Classification in PV Modules, in the Journal: (JOURNAL)
- what: This approach compared to approaches in literature offers numerous advantages including speed of execution speed of diagnosis reduced costs reduction in electricity production losses. In this this paper, paper, an an artificial artificial image neural_network has been developed, trained and used for the classification of thermographic images. used for for the the classification classification of of . . .
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