... reliance on costly manual labeling, thus enabling more practical deployment in real-world predictive maintenance. Design/methodology/approach This study develops PF-MCNN, a semi-supervised bearing fault detection method. The approach integrates convolutional neural networks (CNNs) with signal...

.... This work proposes a novel BERT-convolutional neural network (CNN)-based model for sentence representation learning and text classification. The proposed model can be used by industries that work in the area of classification of similarity scores between the texts and sentiments and opinion analysis...