Filtros : "Espanha" "2022" "Elsevier" Removidos: "Fisiopatologia Experimental" "BIOENERGIA" Limpar

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  • Source: Journal of Manufacturing Processes. Unidade: EESC

    Subjects: FRESAGEM, RUGOSIDADE SUPERFICIAL, ENGENHARIA MECÂNICA

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    • ABNT

      BASSO, Igor Fernando et al. Influences of the workpiece material and the tool-surface engagement (TSE) on surface finishing when ball-end milling. Journal of Manufacturing Processes, v. 75, p. 219-231, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.jmapro.2021.12.059. Acesso em: 21 ago. 2024.
    • APA

      Basso, I. F., Voigt, R., Rodrigues, A. R., Marin, F., Souza, A. F. de, & López de Lacalle, L. N. (2022). Influences of the workpiece material and the tool-surface engagement (TSE) on surface finishing when ball-end milling. Journal of Manufacturing Processes, 75, 219-231. doi:10.1016/j.jmapro.2021.12.059
    • NLM

      Basso IF, Voigt R, Rodrigues AR, Marin F, Souza AF de, López de Lacalle LN. Influences of the workpiece material and the tool-surface engagement (TSE) on surface finishing when ball-end milling [Internet]. Journal of Manufacturing Processes. 2022 ; 75 219-231.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1016/j.jmapro.2021.12.059
    • Vancouver

      Basso IF, Voigt R, Rodrigues AR, Marin F, Souza AF de, López de Lacalle LN. Influences of the workpiece material and the tool-surface engagement (TSE) on surface finishing when ball-end milling [Internet]. Journal of Manufacturing Processes. 2022 ; 75 219-231.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1016/j.jmapro.2021.12.059
  • Source: Chemical engineering journal. Unidade: EEL

    Assunto: FOTOCATÁLISE

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      PRESUMIDO, Pedro H. et al. A Novel ceramic tubular membrane coated with a continuous graphene-TiO2 nanocomposite thin-film for CECs mitigation. Chemical engineering journal, v. 430, n. 1 , p. 132639-, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.cej.2021.132639. Acesso em: 21 ago. 2024.
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      Presumido, P. H., Santos, L. F., Neuparth, T., Santos, M. M., Feliciano, M., Primo, A., et al. (2022). A Novel ceramic tubular membrane coated with a continuous graphene-TiO2 nanocomposite thin-film for CECs mitigation. Chemical engineering journal, 430( 1 ), 132639-. doi:10.1016/j.cej.2021.132639
    • NLM

      Presumido PH, Santos LF, Neuparth T, Santos MM, Feliciano M, Primo A, Garcia H, B- 'OLI' MAJA, Vilar VJP. A Novel ceramic tubular membrane coated with a continuous graphene-TiO2 nanocomposite thin-film for CECs mitigation [Internet]. Chemical engineering journal. 2022 ;430( 1 ): 132639-.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1016/j.cej.2021.132639
    • Vancouver

      Presumido PH, Santos LF, Neuparth T, Santos MM, Feliciano M, Primo A, Garcia H, B- 'OLI' MAJA, Vilar VJP. A Novel ceramic tubular membrane coated with a continuous graphene-TiO2 nanocomposite thin-film for CECs mitigation [Internet]. Chemical engineering journal. 2022 ;430( 1 ): 132639-.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1016/j.cej.2021.132639
  • Source: Computers and Operations Research. Unidade: EESC

    Assunto: ENGENHARIA DE PRODUÇÃO

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      ABREU, Levi Ribeiro de et al. New efficient heuristics for scheduling open shops with makespan minimization. Computers and Operations Research, v. 142, p. 1-21, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2022.105744. Acesso em: 21 ago. 2024.
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      Abreu, L. R. de, Prata, B. de A., Framinan, J. M., & Nagano, M. S. (2022). New efficient heuristics for scheduling open shops with makespan minimization. Computers and Operations Research, 142, 1-21. doi:10.1016/j.cor.2022.105744
    • NLM

      Abreu LR de, Prata B de A, Framinan JM, Nagano MS. New efficient heuristics for scheduling open shops with makespan minimization [Internet]. Computers and Operations Research. 2022 ; 142 1-21.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1016/j.cor.2022.105744
    • Vancouver

      Abreu LR de, Prata B de A, Framinan JM, Nagano MS. New efficient heuristics for scheduling open shops with makespan minimization [Internet]. Computers and Operations Research. 2022 ; 142 1-21.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1016/j.cor.2022.105744
  • Source: Physica A: Statistical Mechanics and its Applications. Unidade: IF

    Assunto: CONDENSADO DE BOSE-EINSTEIN

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      MEGÍAS, E et al. Bose-Einstein condensation and non-extensive statistics for finite systems. Physica A: Statistical Mechanics and its Applications, v. 585, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2021.126440. Acesso em: 21 ago. 2024.
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      Megías, E., Gammal, A., Timóteo, V. S., & Deppman, A. (2022). Bose-Einstein condensation and non-extensive statistics for finite systems. Physica A: Statistical Mechanics and its Applications, 585. doi:10.1016/j.physa.2021.126440
    • NLM

      Megías E, Gammal A, Timóteo VS, Deppman A. Bose-Einstein condensation and non-extensive statistics for finite systems [Internet]. Physica A: Statistical Mechanics and its Applications. 2022 ; 585[citado 2024 ago. 21 ] Available from: https://doi.org/10.1016/j.physa.2021.126440
    • Vancouver

      Megías E, Gammal A, Timóteo VS, Deppman A. Bose-Einstein condensation and non-extensive statistics for finite systems [Internet]. Physica A: Statistical Mechanics and its Applications. 2022 ; 585[citado 2024 ago. 21 ] Available from: https://doi.org/10.1016/j.physa.2021.126440
  • Source: Electric Power Systems Research. Unidade: EESC

    Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, REDES NEURAIS, ILHAMENTO, ENGENHARIA ELÉTRICA

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      BARBALHO, Pedro Inácio de Nascimento e et al. Deep reinforcement learning-based secondary control for microgrids in islanded mode. Electric Power Systems Research, v. 212, p. 1-7, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.epsr.2022.108315. Acesso em: 21 ago. 2024.
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      Barbalho, P. I. de N. e, Lacerda, V. A., Fernandes, R. A. S., & Coury, D. V. (2022). Deep reinforcement learning-based secondary control for microgrids in islanded mode. Electric Power Systems Research, 212, 1-7. doi:10.1016/j.epsr.2022.108315
    • NLM

      Barbalho PI de N e, Lacerda VA, Fernandes RAS, Coury DV. Deep reinforcement learning-based secondary control for microgrids in islanded mode [Internet]. Electric Power Systems Research. 2022 ; 212 1-7.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1016/j.epsr.2022.108315
    • Vancouver

      Barbalho PI de N e, Lacerda VA, Fernandes RAS, Coury DV. Deep reinforcement learning-based secondary control for microgrids in islanded mode [Internet]. Electric Power Systems Research. 2022 ; 212 1-7.[citado 2024 ago. 21 ] Available from: https://doi.org/10.1016/j.epsr.2022.108315

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