Source: Journal of Water and Climate Change. Unidade: ICMC
Subjects: MUDANÇA CLIMÁTICA, EFEITO ESTUFA, APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS)
ABNT
ENAMOTO, Liriam Michi et al. Meta-learning applied to a multivariate single-step fusion model for greenhouse gas emission forecasting in Brazil. Journal of Water and Climate Change, v. 15, n. 8, p. 4016-4034, 2024Tradução . . Disponível em: https://doi.org/10.2166/wcc.2024.252. Acesso em: 10 nov. 2025.APA
Enamoto, L. M., Santos, A. R. A., Weigang, L., Meneguette, R. I., & Rocha Filho, G. P. (2024). Meta-learning applied to a multivariate single-step fusion model for greenhouse gas emission forecasting in Brazil. Journal of Water and Climate Change, 15( 8), 4016-4034. doi:10.2166/wcc.2024.252NLM
Enamoto LM, Santos ARA, Weigang L, Meneguette RI, Rocha Filho GP. Meta-learning applied to a multivariate single-step fusion model for greenhouse gas emission forecasting in Brazil [Internet]. Journal of Water and Climate Change. 2024 ; 15( 8): 4016-4034.[citado 2025 nov. 10 ] Available from: https://doi.org/10.2166/wcc.2024.252Vancouver
Enamoto LM, Santos ARA, Weigang L, Meneguette RI, Rocha Filho GP. Meta-learning applied to a multivariate single-step fusion model for greenhouse gas emission forecasting in Brazil [Internet]. Journal of Water and Climate Change. 2024 ; 15( 8): 4016-4034.[citado 2025 nov. 10 ] Available from: https://doi.org/10.2166/wcc.2024.252
