We introduce a method that uses neural networks to dramatically reduce the time and human effort required for subcellular annotation and feature extraction.

PV module fault diagnosis uses convolutional neural network Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies.