Mampilly, B. J., & Sheeba, V. S. (2024). An empirical wavelet transform based fault detection and hybrid convolutional recurrent neural network for fault classification in distribution network integrated power system. Multimedia Tools & Applications, 83(32), 77445. https://doi.org/10.1007/s11042-024-18335-4
Chicago Style (17th ed.) CitationMampilly, Binitha Joseph, and V. S. Sheeba. "An Empirical Wavelet Transform Based Fault Detection and Hybrid Convolutional Recurrent Neural Network for Fault Classification in Distribution Network Integrated Power System." Multimedia Tools & Applications 83, no. 32 (2024): 77445. https://doi.org/10.1007/s11042-024-18335-4.
MLA (9th ed.) CitationMampilly, Binitha Joseph, and V. S. Sheeba. "An Empirical Wavelet Transform Based Fault Detection and Hybrid Convolutional Recurrent Neural Network for Fault Classification in Distribution Network Integrated Power System." Multimedia Tools & Applications, vol. 83, no. 32, 2024, p. 77445, https://doi.org/10.1007/s11042-024-18335-4.