In the light of the reduction of difficulty in feature learning and the improvement of final diagnosis accuracy, data preprocessing is necessary and crucial in CNN-based fault diagnosis methods. This ...

Image preprocessing is the first step in OCR technology, aimed at improving image quality to create favorable conditions for subsequent character recognition. Vehicle document images may be affected ...

In the field of power operation and maintenance, bird nests on utility poles have always been a potential safety hazard. If ...

Description: Dive into this exciting project that builds a CNN with TensorFlow/Keras to classify CIFAR-10 images into 10 vibrant classes! 📸 It features data preprocessing, model training, stunning ...

Heart failure (HF) is an important global health problem with high rates of morbidity and mortality and frequent rehospitalizations. Such adverse outcomes can be predicted timely so as to improve ...