Hybrid CNN-LSTM approaches for identification of type and locations of transmission line faults

Research article (International Journal of Electrical Power & Energy Systems, 2021) · cited 131× · AI/ML
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Hybrid CNN-LSTM approaches for identification of type and locations of transmission line faults

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Hybrid CNN-LSTM approaches for identification of type and locations of transmission line faults is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Hybrid CNN-LSTM approaches for identification of type and locations of transmission line faults. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-cnn-lstm-approaches-for-identification-of-type-and-locations-of-transmission-line-faults
MLA “Hybrid CNN-LSTM approaches for identification of type and locations of transmission line faults.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-cnn-lstm-approaches-for-identification-of-type-and-locations-of-transmission-line-faults.
BibTeX @misc{4ortxyz_hybrid-cnn-lstm-approaches-for-identification-of-type-and-locations-of-transmission-line-faults_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid CNN-LSTM approaches for identification of type and locations of transmission line faults}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-cnn-lstm-approaches-for-identification-of-type-and-locations-of-transmission-line-faults}, note = {Accessed: 2026-05-24}}
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