ReP USP - Resultado da busca

Artigo de periodico
An investigation of contributing factors for warehouse location and the relationship between local attributes and explanatory variables of Warehouse Freight Trip Generation Model (2022)
Oliveira, Leise Kelli de ; Lopes, Gabriela Pereira; Oliveira, Renata Lúcia Magalhães de ; Bracarense, Lílian dos Santos Fontes Pereira ; Pitombo, Cira Souza
Source: Transportation Research Part A: Policy and Practice. Unidade: EESC
Subjects: TRANSPORTE URBANO, FRETE, TRANSPORTE DE CARGA, TRANSPORTES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Leise Kelli de et al. An investigation of contributing factors for warehouse location and the relationship between local attributes and explanatory variables of Warehouse Freight Trip Generation Model. Transportation Research Part A: Policy and Practice, v. 162, p. 206-219, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.tra.2022.05.025. Acesso em: 10 jun. 2024.
APA
Oliveira, L. K. de, Lopes, G. P., Oliveira, R. L. M. de, Bracarense, L. dos S. F. P., & Pitombo, C. S. (2022). An investigation of contributing factors for warehouse location and the relationship between local attributes and explanatory variables of Warehouse Freight Trip Generation Model. Transportation Research Part A: Policy and Practice, 162, 206-219. doi:10.1016/j.tra.2022.05.025
NLM
Oliveira LK de, Lopes GP, Oliveira RLM de, Bracarense L dos SFP, Pitombo CS. An investigation of contributing factors for warehouse location and the relationship between local attributes and explanatory variables of Warehouse Freight Trip Generation Model [Internet]. Transportation Research Part A: Policy and Practice. 2022 ; 162 206-219.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1016/j.tra.2022.05.025
Vancouver
Oliveira LK de, Lopes GP, Oliveira RLM de, Bracarense L dos SFP, Pitombo CS. An investigation of contributing factors for warehouse location and the relationship between local attributes and explanatory variables of Warehouse Freight Trip Generation Model [Internet]. Transportation Research Part A: Policy and Practice. 2022 ; 162 206-219.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1016/j.tra.2022.05.025
Artigo de periodico
Analysis of no-passing zones to assess the level of service on two-lane rural highways in Brazil (2021)
Silva, Frederico A; Bessa Júnior, José Elievam; Costa, Anáiram L.; Cunha, André Luiz Barbosa Nunes da
Source: Case Studies on Transport Policy. Unidade: EESC
Subjects: RODOVIAS, TRÁFEGO RODOVIÁRIO, TRANSPORTES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Frederico A et al. Analysis of no-passing zones to assess the level of service on two-lane rural highways in Brazil. Case Studies on Transport Policy, p. [ 1-9], 2021Tradução . . Disponível em: https://doi.org/10.1016/j.cstp.2021.12.006. Acesso em: 10 jun. 2024.
APA
Silva, F. A., Bessa Júnior, J. E., Costa, A. L., & Cunha, A. L. B. N. da. (2021). Analysis of no-passing zones to assess the level of service on two-lane rural highways in Brazil. Case Studies on Transport Policy, [ 1-9]. doi:10.1016/j.cstp.2021.12.006
NLM
Silva FA, Bessa Júnior JE, Costa AL, Cunha ALBN da. Analysis of no-passing zones to assess the level of service on two-lane rural highways in Brazil [Internet]. Case Studies on Transport Policy. 2021 ; [ 1-9].[citado 2024 jun. 10 ] Available from: https://doi.org/10.1016/j.cstp.2021.12.006
Vancouver
Silva FA, Bessa Júnior JE, Costa AL, Cunha ALBN da. Analysis of no-passing zones to assess the level of service on two-lane rural highways in Brazil [Internet]. Case Studies on Transport Policy. 2021 ; [ 1-9].[citado 2024 jun. 10 ] Available from: https://doi.org/10.1016/j.cstp.2021.12.006
Artigo de periodico
Correcting geometric deviations of CNC machine-tools: an approach with artificial neural networks (2015)
Leite, Wanderson de Oliveira; Rubio, Juan Carlos Campos ; Duduch, Jaime Gilberto; Almeida, Paulo Eduardo Maciel de
Source: Applied Soft Computing Journal. Unidade: EESC
Subjects: REDES NEURAIS, MÁQUINAS-FERRAMENTA, ENGENHARIA MECÂNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LEITE, Wanderson de Oliveira et al. Correcting geometric deviations of CNC machine-tools: an approach with artificial neural networks. Applied Soft Computing Journal, v. 36, p. 114-124, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2015.07.014. Acesso em: 10 jun. 2024.
APA
Leite, W. de O., Rubio, J. C. C., Duduch, J. G., & Almeida, P. E. M. de. (2015). Correcting geometric deviations of CNC machine-tools: an approach with artificial neural networks. Applied Soft Computing Journal, 36, 114-124. doi:10.1016/j.asoc.2015.07.014
NLM
Leite W de O, Rubio JCC, Duduch JG, Almeida PEM de. Correcting geometric deviations of CNC machine-tools: an approach with artificial neural networks [Internet]. Applied Soft Computing Journal. 2015 ; 36 114-124.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1016/j.asoc.2015.07.014
Vancouver
Leite W de O, Rubio JCC, Duduch JG, Almeida PEM de. Correcting geometric deviations of CNC machine-tools: an approach with artificial neural networks [Internet]. Applied Soft Computing Journal. 2015 ; 36 114-124.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1016/j.asoc.2015.07.014

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