, Gaussian naive Bayes, k-nearest neighbors, random forests, multilayer perceptron, convolutional neural network, long short …

neural network (CNN), utilizing vibration and thermal features extracted from healthy, chipped, and broken tooth gear health … some instances, fatalities. This study introduces an intelligent gear fault diagnosis system employing a convolutional …

decision trees (DT), as well as transfer learning models such as Convolutional Neural Network (CNN), Visual Geometry Group (VGG …

Convolutional Neural Network (CNN) is a prevalent topic in deep learning (DL) research for their architectural …

13-21. The model architecture used in the study is EEGnet, a compact convolutional neural network with a Relu activation …