Siddique, M.F.; Saleem, F.; Umar, M.; Kim, C.H.; Kim, J.-M.
A Hybrid Deep Learning Approach for Bearing Fault Diagnosis Using Continuous Wavelet Transform and Attention-Enhanced Spatiotemporal Feature Extraction. Sensors 2025, 25, 2712.
https://doi.org/10.3390/s25092712
AMA Style
Siddique MF, Saleem F, Umar M, Kim CH, Kim J-M.
A Hybrid Deep Learning Approach for Bearing Fault Diagnosis Using Continuous Wavelet Transform and Attention-Enhanced Spatiotemporal Feature Extraction. Sensors. 2025; 25(9):2712.
https://doi.org/10.3390/s25092712
Chicago/Turabian Style
Siddique, Muhammad Farooq, Faisal Saleem, Muhammad Umar, Cheol Hong Kim, and Jong-Myon Kim.
2025. "A Hybrid Deep Learning Approach for Bearing Fault Diagnosis Using Continuous Wavelet Transform and Attention-Enhanced Spatiotemporal Feature Extraction" Sensors 25, no. 9: 2712.
https://doi.org/10.3390/s25092712
APA Style
Siddique, M. F., Saleem, F., Umar, M., Kim, C. H., & Kim, J.-M.
(2025). A Hybrid Deep Learning Approach for Bearing Fault Diagnosis Using Continuous Wavelet Transform and Attention-Enhanced Spatiotemporal Feature Extraction. Sensors, 25(9), 2712.
https://doi.org/10.3390/s25092712
