This paper investigates the performance of four machine learning classifiers—Support Vector Machine (SVM), Random Forest (RF), K-Nearest Neighbours (KNN), and Multi-Layer Perceptron (MLP)—on a cancer ...

In this paper, a feature learning method using a stacked contractive autoencoder (sCAE) is presented to extract ... Experiment results show that our deep learning model can separate nonlinear noise ...

and that the methods of directly extracting current signal features using deep learning algorithms have insufficient feature extraction, a new series arc fault detection method based on denoising ...

In this paper, we suggested a novel data-driven PI method for TEAM treatment using emerging bioinformatics techniques in combination with feature extraction using a deep autoencoder, one of the ...