Gifalli, Andre 
; Ikeshoji, Marco Akio ; Gastaldello, Danilo Sinkiti ; Yamaguchi, Victor Hideki Saito ; Bassi, Welson ; Mazon, Talita ; Torres Neto, Floriano ; Costa Junior, Pedro da ; Souza, André Nunes
Fonte: Machine Learning and Knowledge Extraction. Unidade: IEE
Assunto: SISTEMAS ELÉTRICOS DE POTÊNCIA
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GIFALLI, Andre et al. Exploiting the feature space structures of KNN and OPF algorithms for identification of incipient faults in power transformers. Machine Learning and Knowledge Extraction, v. 7, n. 3, p. se 2025, 2025Tradução . . Disponível em: https://doi.org/10.3390/make7030102. Acesso em: 09 dez. 2025.APA
Gifalli, A., Ikeshoji, M. A., Gastaldello, D. S., Yamaguchi, V. H. S., Bassi, W., Mazon, T., et al. (2025). Exploiting the feature space structures of KNN and OPF algorithms for identification of incipient faults in power transformers. Machine Learning and Knowledge Extraction, 7( 3), se 2025. Recuperado de https://doi.org/10.3390/make7030102NLM
Gifalli A, Ikeshoji MA, Gastaldello DS, Yamaguchi VHS, Bassi W, Mazon T, Torres Neto F, Costa Junior P da, Souza AN. Exploiting the feature space structures of KNN and OPF algorithms for identification of incipient faults in power transformers [Internet]. Machine Learning and Knowledge Extraction. 2025 ;7( 3): se 2025.[citado 2025 dez. 09 ] Available from: https://doi.org/10.3390/make7030102Vancouver
Gifalli A, Ikeshoji MA, Gastaldello DS, Yamaguchi VHS, Bassi W, Mazon T, Torres Neto F, Costa Junior P da, Souza AN. Exploiting the feature space structures of KNN and OPF algorithms for identification of incipient faults in power transformers [Internet]. Machine Learning and Knowledge Extraction. 2025 ;7( 3): se 2025.[citado 2025 dez. 09 ] Available from: https://doi.org/10.3390/make7030102
