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Artigo de periodico
Integrated anaerobic digestion and gasification processes for upgrade of ethanol biorefinery residues (2019)
Nakashima, Rafael Nogueira ; Flórez-Orrego, Daniel Alexander; Oliveira Júnior, Silvio de
Source: Open Acess Journal of Power Technologies. Unidade: EP
Subjects: BIOGÁS, GASEIFICAÇÃO, EXERGIA, ENERGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAKASHIMA, Rafael Nogueira e FLÓREZ-ORREGO, Daniel Alexander e OLIVEIRA JÚNIOR, Silvio de. Integrated anaerobic digestion and gasification processes for upgrade of ethanol biorefinery residues. Open Acess Journal of Power Technologies, v. 99, n. 2, p. 104-114, 2019Tradução . . Disponível em: http://papers.itc.pw.edu.pl/index.php/JPT/article/view/1475/867. Acesso em: 28 jun. 2024.
APA
Nakashima, R. N., Flórez-Orrego, D. A., & Oliveira Júnior, S. de. (2019). Integrated anaerobic digestion and gasification processes for upgrade of ethanol biorefinery residues. Open Acess Journal of Power Technologies, 99( 2), 104-114. Recuperado de http://papers.itc.pw.edu.pl/index.php/JPT/article/view/1475/867
NLM
Nakashima RN, Flórez-Orrego DA, Oliveira Júnior S de. Integrated anaerobic digestion and gasification processes for upgrade of ethanol biorefinery residues [Internet]. Open Acess Journal of Power Technologies. 2019 ; 99( 2): 104-114.[citado 2024 jun. 28 ] Available from: http://papers.itc.pw.edu.pl/index.php/JPT/article/view/1475/867
Vancouver
Nakashima RN, Flórez-Orrego DA, Oliveira Júnior S de. Integrated anaerobic digestion and gasification processes for upgrade of ethanol biorefinery residues [Internet]. Open Acess Journal of Power Technologies. 2019 ; 99( 2): 104-114.[citado 2024 jun. 28 ] Available from: http://papers.itc.pw.edu.pl/index.php/JPT/article/view/1475/867
Artigo de periodico
Application of multiple regression and neural networks to synthesize a model for peen forming process planning (2010)
Delijaicov, Sergio ; Fleury, Agenor de Toledo ; Martins, Flavius Portella Ribas
Source: Journal of Achievements in Materials and Manufacturing Engineering. Unidade: EP
Assunto: REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DELIJAICOV, Sergio e FLEURY, Agenor de Toledo e MARTINS, Flavius Portella Ribas. Application of multiple regression and neural networks to synthesize a model for peen forming process planning. Journal of Achievements in Materials and Manufacturing Engineering, v. 43, n. 2, p. 651-656, 2010Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/e4ccc7b0-9205-452c-83f4-afb440824eef/Fleury-2010-Application%20of%20multiple%20regression%20and%20neural%20ok.pdf. Acesso em: 28 jun. 2024.
APA
Delijaicov, S., Fleury, A. de T., & Martins, F. P. R. (2010). Application of multiple regression and neural networks to synthesize a model for peen forming process planning. Journal of Achievements in Materials and Manufacturing Engineering, 43( 2), 651-656. Recuperado de https://repositorio.usp.br/directbitstream/e4ccc7b0-9205-452c-83f4-afb440824eef/Fleury-2010-Application%20of%20multiple%20regression%20and%20neural%20ok.pdf
NLM
Delijaicov S, Fleury A de T, Martins FPR. Application of multiple regression and neural networks to synthesize a model for peen forming process planning [Internet]. Journal of Achievements in Materials and Manufacturing Engineering. 2010 ; 43( 2): 651-656.[citado 2024 jun. 28 ] Available from: https://repositorio.usp.br/directbitstream/e4ccc7b0-9205-452c-83f4-afb440824eef/Fleury-2010-Application%20of%20multiple%20regression%20and%20neural%20ok.pdf
Vancouver
Delijaicov S, Fleury A de T, Martins FPR. Application of multiple regression and neural networks to synthesize a model for peen forming process planning [Internet]. Journal of Achievements in Materials and Manufacturing Engineering. 2010 ; 43( 2): 651-656.[citado 2024 jun. 28 ] Available from: https://repositorio.usp.br/directbitstream/e4ccc7b0-9205-452c-83f4-afb440824eef/Fleury-2010-Application%20of%20multiple%20regression%20and%20neural%20ok.pdf
Artigo de periodico
Application of computer vision methods to estimate the coverage of peen formed plates (2010)
Vieira, Luiz Carlos; Almeida, R H Z; Martins, Flavius Portella Ribas ; Fleury, Agenor de Toledo
Source: Journal of Achievements in Materials and Manufacturing Engineering. Unidade: EP
Subjects: VISÃO COMPUTACIONAL, PROCESSOS DE FABRICAÇÃO, TRATAMENTO DE SUPERFÍCIES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIEIRA, Luiz Carlos et al. Application of computer vision methods to estimate the coverage of peen formed plates. Journal of Achievements in Materials and Manufacturing Engineering, v. 43, n. 2, p. 743-749, 2010Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/28acd301-9e92-4d86-8916-96e2c52d3b0b/Fleury-2010-Application%20of%20computer%20vision%20methods%20ok.pdf. Acesso em: 28 jun. 2024.
APA
Vieira, L. C., Almeida, R. H. Z., Martins, F. P. R., & Fleury, A. de T. (2010). Application of computer vision methods to estimate the coverage of peen formed plates. Journal of Achievements in Materials and Manufacturing Engineering, 43( 2), 743-749. Recuperado de https://repositorio.usp.br/directbitstream/28acd301-9e92-4d86-8916-96e2c52d3b0b/Fleury-2010-Application%20of%20computer%20vision%20methods%20ok.pdf
NLM
Vieira LC, Almeida RHZ, Martins FPR, Fleury A de T. Application of computer vision methods to estimate the coverage of peen formed plates [Internet]. Journal of Achievements in Materials and Manufacturing Engineering. 2010 ; 43( 2): 743-749.[citado 2024 jun. 28 ] Available from: https://repositorio.usp.br/directbitstream/28acd301-9e92-4d86-8916-96e2c52d3b0b/Fleury-2010-Application%20of%20computer%20vision%20methods%20ok.pdf
Vancouver
Vieira LC, Almeida RHZ, Martins FPR, Fleury A de T. Application of computer vision methods to estimate the coverage of peen formed plates [Internet]. Journal of Achievements in Materials and Manufacturing Engineering. 2010 ; 43( 2): 743-749.[citado 2024 jun. 28 ] Available from: https://repositorio.usp.br/directbitstream/28acd301-9e92-4d86-8916-96e2c52d3b0b/Fleury-2010-Application%20of%20computer%20vision%20methods%20ok.pdf

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