[1]
“Evaluation of Time-Frequency Representations for Deep Learning-Based Rotating Machinery Fault Diagnosis”, Int. j. eng. technol. innov., vol. 15, no. 3, pp. 314–331, Jul. 2025, doi: 10.46604/ijeti.2024.14774.