Source: IEEE Open Journal of the Industrial Electronics Society. Unidade: EESC
Subjects: SISTEMAS HÍBRIDOS, INTELIGÊNCIA ARTIFICIAL, VEÍCULOS, ENGENHARIA ELÉTRICA
ABNT
SILVA, Lucas Jonys Ribeiro et al. Optimized sigmoid-based complete ensemble empirical mode decomposition for energy management in hybrid electric vehicles. IEEE Open Journal of the Industrial Electronics Society, p. 1-19, 2025Tradução . . Disponível em: http://dx.doi.org/10.1109/OJIES.2025.3559447. Acesso em: 14 maio 2025.APA
Silva, L. J. R., Campos, M. V. R., Fagundes, T. A., Zilli, B. M., Neves, R. V. A., Machado, R. Q., & Oliveira, V. A. de. (2025). Optimized sigmoid-based complete ensemble empirical mode decomposition for energy management in hybrid electric vehicles. IEEE Open Journal of the Industrial Electronics Society, 1-19. doi:10.1109/OJIES.2025.3559447NLM
Silva LJR, Campos MVR, Fagundes TA, Zilli BM, Neves RVA, Machado RQ, Oliveira VA de. Optimized sigmoid-based complete ensemble empirical mode decomposition for energy management in hybrid electric vehicles [Internet]. IEEE Open Journal of the Industrial Electronics Society. 2025 ; 1-19.[citado 2025 maio 14 ] Available from: http://dx.doi.org/10.1109/OJIES.2025.3559447Vancouver
Silva LJR, Campos MVR, Fagundes TA, Zilli BM, Neves RVA, Machado RQ, Oliveira VA de. Optimized sigmoid-based complete ensemble empirical mode decomposition for energy management in hybrid electric vehicles [Internet]. IEEE Open Journal of the Industrial Electronics Society. 2025 ; 1-19.[citado 2025 maio 14 ] Available from: http://dx.doi.org/10.1109/OJIES.2025.3559447