HIGHLIGHTS
- who: Sufyan Ali Memon et al. from the Department of Defense Systems Engineering, Sejong University, Seoul, Korea have published the Article: A Machine-Learning-Based Robust Classification Method for PV Panel Faults, in the Journal: Sensors 2022, 22, 8515. of /2022/
- what: The works presented are nice efforts to detect and classify various faults in different environments and weather condition. Since the authors intend to automate the fault detection and classification phenomenon, one of the main reasons for the authors to use the CNN is that it automatically extracts useful features from the input data . . .
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