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Filtros : "Machine Learning and Knowledge Extraction" Limpar

Filtros

Artigo de periodico
Exploiting the feature space structures of KNN and OPF algorithms for identification of incipient faults in power transformers (2025)
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
Source: Machine Learning and Knowledge Extraction. Unidade: IEE
Assunto: SISTEMAS ELÉTRICOS DE POTÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 07 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/make7030102
NLM
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. 07 ] Available from: https://doi.org/10.3390/make7030102
Vancouver
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. 07 ] Available from: https://doi.org/10.3390/make7030102
Artigo de periodico
Bayesian network structural learning using adaptive genetic algorithm with varying population size (2023)
Ribeiro, Rafael Rodrigues Mendes; Maciel, Carlos Dias
Source: Machine Learning and Knowledge Extraction. Unidade: EESC
Subjects: INFERÊNCIA BAYESIANA, ALGORITMOS GENÉTICOS, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBEIRO, Rafael Rodrigues Mendes e MACIEL, Carlos Dias. Bayesian network structural learning using adaptive genetic algorithm with varying population size. Machine Learning and Knowledge Extraction, v. 5, p. 1877-1887, 2023Tradução . . Disponível em: https://dx.doi.org/10.3390/make5040090. Acesso em: 07 dez. 2025.
APA
Ribeiro, R. R. M., & Maciel, C. D. (2023). Bayesian network structural learning using adaptive genetic algorithm with varying population size. Machine Learning and Knowledge Extraction, 5, 1877-1887. doi:10.3390/make5040090
NLM
Ribeiro RRM, Maciel CD. Bayesian network structural learning using adaptive genetic algorithm with varying population size [Internet]. Machine Learning and Knowledge Extraction. 2023 ; 5 1877-1887.[citado 2025 dez. 07 ] Available from: https://dx.doi.org/10.3390/make5040090
Vancouver
Ribeiro RRM, Maciel CD. Bayesian network structural learning using adaptive genetic algorithm with varying population size [Internet]. Machine Learning and Knowledge Extraction. 2023 ; 5 1877-1887.[citado 2025 dez. 07 ] Available from: https://dx.doi.org/10.3390/make5040090

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