Vatsa, A.; Hati, A.S.; Bolshev, V.; Vinogradov, A.; Panchenko, V.; Chakrabarti, P.
Deep Learning-Based Transformer Moisture Diagnostics Using Long Short-Term Memory Networks. Energies 2023, 16, 2382.
https://doi.org/10.3390/en16052382
AMA Style
Vatsa A, Hati AS, Bolshev V, Vinogradov A, Panchenko V, Chakrabarti P.
Deep Learning-Based Transformer Moisture Diagnostics Using Long Short-Term Memory Networks. Energies. 2023; 16(5):2382.
https://doi.org/10.3390/en16052382
Chicago/Turabian Style
Vatsa, Aniket, Ananda Shankar Hati, Vadim Bolshev, Alexander Vinogradov, Vladimir Panchenko, and Prasun Chakrabarti.
2023. "Deep Learning-Based Transformer Moisture Diagnostics Using Long Short-Term Memory Networks" Energies 16, no. 5: 2382.
https://doi.org/10.3390/en16052382
APA Style
Vatsa, A., Hati, A. S., Bolshev, V., Vinogradov, A., Panchenko, V., & Chakrabarti, P.
(2023). Deep Learning-Based Transformer Moisture Diagnostics Using Long Short-Term Memory Networks. Energies, 16(5), 2382.
https://doi.org/10.3390/en16052382