Source: Journal of energy resources technology. Unidade: EP
Subjects: FONTES RENOVÁVEIS DE ENERGIA, BIOENERGIA, HIDROGÊNIO, REDES NEURAIS, APRENDIZADO COMPUTACIONAL
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VARGAS, Gabriel Gomes e ORTIZ, Pablo Andres Silva e OLIVEIRA JÚNIOR, Silvio de. Performance analysis of waste biomass gasification and renewable hydrogen production by neural network algorithm. Journal of energy resources technology, v. 146, n. 5, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1115/1.4064849. Acesso em: 26 abr. 2026.APA
Vargas, G. G., Ortiz, P. A. S., & Oliveira Júnior, S. de. (2024). Performance analysis of waste biomass gasification and renewable hydrogen production by neural network algorithm. Journal of energy resources technology, 146( 5), 1-12. doi:10.1115/1.4064849NLM
Vargas GG, Ortiz PAS, Oliveira Júnior S de. Performance analysis of waste biomass gasification and renewable hydrogen production by neural network algorithm [Internet]. Journal of energy resources technology. 2024 ; 146( 5): 1-12.[citado 2026 abr. 26 ] Available from: https://doi.org/10.1115/1.4064849Vancouver
Vargas GG, Ortiz PAS, Oliveira Júnior S de. Performance analysis of waste biomass gasification and renewable hydrogen production by neural network algorithm [Internet]. Journal of energy resources technology. 2024 ; 146( 5): 1-12.[citado 2026 abr. 26 ] Available from: https://doi.org/10.1115/1.4064849
