Efficient CNN‐XGBoost technique for classification of power transformer internal faults against various abnormal conditions

Research article (IET Generation Transmission & Distribution, 2021) · cited 53× · AI/ML
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Efficient CNN‐XGBoost technique for classification of power transformer internal faults against various abnormal conditions

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Efficient CNN‐XGBoost technique for classification of power transformer internal faults against various abnormal conditions is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Efficient CNN‐XGBoost technique for classification of power transformer internal faults against various abnormal conditions. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-cnnxgboost-technique-for-classification-of-power-transformer-internal-faults-against-various-abnormal-conditio
MLA “Efficient CNN‐XGBoost technique for classification of power transformer internal faults against various abnormal conditions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-cnnxgboost-technique-for-classification-of-power-transformer-internal-faults-against-various-abnormal-conditio.
BibTeX @misc{4ortxyz_efficient-cnnxgboost-technique-for-classification-of-power-transformer-internal-faults-against-various-abnormal-conditio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient CNN‐XGBoost technique for classification of power transformer internal faults against various abnormal conditions}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-cnnxgboost-technique-for-classification-of-power-transformer-internal-faults-against-various-abnormal-conditio}, note = {Accessed: 2026-05-24}}
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