Predicting carbon footprint in stochastic dynamic routing using Bayesian Markov random fields (2025)
Desuó Neto, Luiz 
; Caetano, Henrique de Oliveira ; Fogliatto, Matheus de Souza Sant'Anna ; Maciel, Carlos Dias
Fonte: Expert Systems with Applications. Unidade: EESC
Assunto: ENGENHARIA ELÉTRICA
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ABNT
DESUÓ NETO, Luiz et al. Predicting carbon footprint in stochastic dynamic routing using Bayesian Markov random fields. Expert Systems with Applications, v. 276, p. 1-16, 2025Tradução . . Disponível em: https://dx.doi.org/10.1016/j.eswa.2025.127137. Acesso em: 09 nov. 2025.APA
Desuó Neto, L., Caetano, H. de O., Fogliatto, M. de S. S. 'A., & Maciel, C. D. (2025). Predicting carbon footprint in stochastic dynamic routing using Bayesian Markov random fields. Expert Systems with Applications, 276, 1-16. doi:10.1016/j.eswa.2025.127137NLM
Desuó Neto L, Caetano H de O, Fogliatto M de SS'A, Maciel CD. Predicting carbon footprint in stochastic dynamic routing using Bayesian Markov random fields [Internet]. Expert Systems with Applications. 2025 ; 276 1-16.[citado 2025 nov. 09 ] Available from: https://dx.doi.org/10.1016/j.eswa.2025.127137Vancouver
Desuó Neto L, Caetano H de O, Fogliatto M de SS'A, Maciel CD. Predicting carbon footprint in stochastic dynamic routing using Bayesian Markov random fields [Internet]. Expert Systems with Applications. 2025 ; 276 1-16.[citado 2025 nov. 09 ] Available from: https://dx.doi.org/10.1016/j.eswa.2025.127137
