Cite
Harnessing attention mechanisms in a comprehensive deep learning approach for induction motor fault diagnosis using raw electrical signals.
MLA
Vo, Thanh-Tung, et al. “Harnessing Attention Mechanisms in a Comprehensive Deep Learning Approach for Induction Motor Fault Diagnosis Using Raw Electrical Signals.” Engineering Applications of Artificial Intelligence, vol. 129, Mar. 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.engappai.2023.107643.
APA
Vo, T.-T., Liu, M.-K., & Tran, M.-Q. (2024). Harnessing attention mechanisms in a comprehensive deep learning approach for induction motor fault diagnosis using raw electrical signals. Engineering Applications of Artificial Intelligence, 129, N.PAG. https://doi.org/10.1016/j.engappai.2023.107643
Chicago
Vo, Thanh-Tung, Meng-Kun Liu, and Minh-Quang Tran. 2024. “Harnessing Attention Mechanisms in a Comprehensive Deep Learning Approach for Induction Motor Fault Diagnosis Using Raw Electrical Signals.” Engineering Applications of Artificial Intelligence 129 (March): N.PAG. doi:10.1016/j.engappai.2023.107643.