Residual wide-kernel deep convolutional auto-encoder for intelligent rotating machinery fault diagnosis with limited samples. - Daoguang Yang; Hamid Reza Karimi; Kangkang Sun (Neural Networks, 2021)

A Fuzzy Fusion Rotating Machinery Fault Diagnosis Framework Based on the Enhancement Deep Convolutional Neural Networks. - Daoguang Yang; Hamid Reza Karimi; Len Gelman (Sensors, 2022)

Evolving long short-term memory neural network for wind speed forecasting. - Cong Huang; Hamid Reza Karimi; Peng Mei; Daoguang Yang; Quan Shi (Inf. Sci., 2023)

An explainable intelligence fault diagnosis framework for rotating machinery. - Daoguang Yang; Hamid Reza Karimi; Len Gelman (Neurocomputing, 2023)

A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression. - Xin Zhu 005; Daoguang Yang; Hongyi Pan; Hamid Reza Karimi; Didem Ozevin; Ahmet Enis Çetin (Eng. Appl. Artif. Intell., 2024)