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  • Source: International Journal of Advanced Manufacturing Technology. Unidades: EESC, ICMC

    Subjects: MANUFATURA ADITIVA, PROCESSAMENTO DE IMAGENS, REDES NEURAIS, APRENDIZADO COMPUTACIONAL

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      RIBEIRO, Kandice Suane Barros et al. A hybrid machine learning model for in-process estimation of printing distance in laser Directed Energy Deposition. International Journal of Advanced Manufacturing Technology, v. 127, n. 7-8, p. 3183-3194, 2023Tradução . . Disponível em: https://doi.org/10.1007/s00170-023-11582-z. Acesso em: 10 out. 2024.
    • APA

      Ribeiro, K. S. B., Nuñez, H. H. L., Venter, G. S., Doude, H. R., & Coelho, R. T. (2023). A hybrid machine learning model for in-process estimation of printing distance in laser Directed Energy Deposition. International Journal of Advanced Manufacturing Technology, 127( 7-8), 3183-3194. doi:10.1007/s00170-023-11582-z
    • NLM

      Ribeiro KSB, Nuñez HHL, Venter GS, Doude HR, Coelho RT. A hybrid machine learning model for in-process estimation of printing distance in laser Directed Energy Deposition [Internet]. International Journal of Advanced Manufacturing Technology. 2023 ; 127( 7-8): 3183-3194.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s00170-023-11582-z
    • Vancouver

      Ribeiro KSB, Nuñez HHL, Venter GS, Doude HR, Coelho RT. A hybrid machine learning model for in-process estimation of printing distance in laser Directed Energy Deposition [Internet]. International Journal of Advanced Manufacturing Technology. 2023 ; 127( 7-8): 3183-3194.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s00170-023-11582-z
  • Source: International journal of biological macromolecules. Unidade: EEL

    Subjects: BIOTECNOLOGIA, BIOQUÍMICA, BIOLOGIA MOLECULAR

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      BERTO, Gabriela Leila et al. Endoglucanase effects on energy consumption in the mechanical fibrillation of cellulose fibers into nanocelluloses. International journal of biological macromolecules, v. 243, p. 1-9, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.ijbiomac.2023.125002. Acesso em: 10 out. 2024.
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      Berto, G. L., Mattos, B. D., Velasco, J., Segato, F., Rojas, O. J., Arantes, V., & Zhao, B. (2023). Endoglucanase effects on energy consumption in the mechanical fibrillation of cellulose fibers into nanocelluloses. International journal of biological macromolecules, 243, 1-9. doi:10.1016/j.ijbiomac.2023.125002
    • NLM

      Berto GL, Mattos BD, Velasco J, Segato F, Rojas OJ, Arantes V, Zhao B. Endoglucanase effects on energy consumption in the mechanical fibrillation of cellulose fibers into nanocelluloses [Internet]. International journal of biological macromolecules. 2023 ;243 1-9.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.ijbiomac.2023.125002
    • Vancouver

      Berto GL, Mattos BD, Velasco J, Segato F, Rojas OJ, Arantes V, Zhao B. Endoglucanase effects on energy consumption in the mechanical fibrillation of cellulose fibers into nanocelluloses [Internet]. International journal of biological macromolecules. 2023 ;243 1-9.[citado 2024 out. 10 ] Available from: https://doi.org/10.1016/j.ijbiomac.2023.125002
  • Source: Education and Information Technologies. Unidade: ICMC

    Subjects: JOGOS DE COMPUTADOR, REVISÃO SISTEMÁTICA, COMPUTADOR NO ENSINO, EDUCAÇÃO

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      SANTOS, Wilk Oliveira dos et al. Tailored gamification in education: a literature review and future agenda. Education and Information Technologies, v. 28, p. 373-406, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10639-022-11122-4. Acesso em: 10 out. 2024.
    • APA

      Santos, W. O. dos, Hamari, J., Shi, L., Toda, A. M., Rodrigues, L. A. L., Palomino, P. T., & Isotani, S. (2023). Tailored gamification in education: a literature review and future agenda. Education and Information Technologies, 28, 373-406. doi:10.1007/s10639-022-11122-4
    • NLM

      Santos WO dos, Hamari J, Shi L, Toda AM, Rodrigues LAL, Palomino PT, Isotani S. Tailored gamification in education: a literature review and future agenda [Internet]. Education and Information Technologies. 2023 ; 28 373-406.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s10639-022-11122-4
    • Vancouver

      Santos WO dos, Hamari J, Shi L, Toda AM, Rodrigues LAL, Palomino PT, Isotani S. Tailored gamification in education: a literature review and future agenda [Internet]. Education and Information Technologies. 2023 ; 28 373-406.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s10639-022-11122-4
  • Source: Proceedings of the ACM on Human-Computer Interaction. Unidade: ICMC

    Subjects: INTERAÇÃO HOMEM-MÁQUINA, JOGOS DE COMPUTADOR, COMPORTAMENTO

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      SANTOS, Wilk Oliveira dos e HAMARI, Juho e ISOTANI, Seiji. The relationship between users' behavior and their flow experience in gamified systems. Proceedings of the ACM on Human-Computer Interaction, v. 7, n. CHI PLAY, p. 1-23, 2023Tradução . . Disponível em: https://doi.org/10.1145/3611032. Acesso em: 10 out. 2024.
    • APA

      Santos, W. O. dos, Hamari, J., & Isotani, S. (2023). The relationship between users' behavior and their flow experience in gamified systems. Proceedings of the ACM on Human-Computer Interaction, 7( CHI PLAY), 1-23. doi:10.1145/3611032
    • NLM

      Santos WO dos, Hamari J, Isotani S. The relationship between users' behavior and their flow experience in gamified systems [Internet]. Proceedings of the ACM on Human-Computer Interaction. 2023 ; 7( CHI PLAY): 1-23.[citado 2024 out. 10 ] Available from: https://doi.org/10.1145/3611032
    • Vancouver

      Santos WO dos, Hamari J, Isotani S. The relationship between users' behavior and their flow experience in gamified systems [Internet]. Proceedings of the ACM on Human-Computer Interaction. 2023 ; 7( CHI PLAY): 1-23.[citado 2024 out. 10 ] Available from: https://doi.org/10.1145/3611032
  • Source: International Journal of Advanced Manufacturing Technology. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, PROCESSAMENTO DE IMAGENS, MANUFATURA ADITIVA

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      MOCHI, Victor H et al. Real-time prediction of deposited bead width in L-DED using semi-supervised transfer learning. International Journal of Advanced Manufacturing Technology, v. 129, n. 11-12, p. 5643-5654, 2023Tradução . . Disponível em: https://doi.org/10.1007/s00170-023-12658-6. Acesso em: 10 out. 2024.
    • APA

      Mochi, V. H., Nuñez, H. H. L., Ribeiro, K. S. B., & Venter, G. S. (2023). Real-time prediction of deposited bead width in L-DED using semi-supervised transfer learning. International Journal of Advanced Manufacturing Technology, 129( 11-12), 5643-5654. doi:10.1007/s00170-023-12658-6
    • NLM

      Mochi VH, Nuñez HHL, Ribeiro KSB, Venter GS. Real-time prediction of deposited bead width in L-DED using semi-supervised transfer learning [Internet]. International Journal of Advanced Manufacturing Technology. 2023 ; 129( 11-12): 5643-5654.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s00170-023-12658-6
    • Vancouver

      Mochi VH, Nuñez HHL, Ribeiro KSB, Venter GS. Real-time prediction of deposited bead width in L-DED using semi-supervised transfer learning [Internet]. International Journal of Advanced Manufacturing Technology. 2023 ; 129( 11-12): 5643-5654.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s00170-023-12658-6
  • Source: ACM Proceedings on Human-Computer Interaction. Unidade: ICMC

    Subjects: INTERAÇÃO HOMEM-MÁQUINA, ESTUDO DE USUÁRIOS, JOGOS DE COMPUTADOR

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      SANTOS, Ana Cláudia Guimarães et al. The consistency of gamification user types: a study on the change of preferences over time. ACM Proceedings on Human-Computer Interaction, v. 7, n. CHI PLAY, p. 422:1-422:29, 2023Tradução . . Disponível em: https://doi.org/10.1145/3611068. Acesso em: 10 out. 2024.
    • APA

      Santos, A. C. G., Santos, W. O. dos, Hamari, J., Joaquim, S., & Isotani, S. (2023). The consistency of gamification user types: a study on the change of preferences over time. ACM Proceedings on Human-Computer Interaction, 7( CHI PLAY), 422:1-422:29. doi:10.1145/3611068
    • NLM

      Santos ACG, Santos WO dos, Hamari J, Joaquim S, Isotani S. The consistency of gamification user types: a study on the change of preferences over time [Internet]. ACM Proceedings on Human-Computer Interaction. 2023 ; 7( CHI PLAY): 422:1-422:29.[citado 2024 out. 10 ] Available from: https://doi.org/10.1145/3611068
    • Vancouver

      Santos ACG, Santos WO dos, Hamari J, Joaquim S, Isotani S. The consistency of gamification user types: a study on the change of preferences over time [Internet]. ACM Proceedings on Human-Computer Interaction. 2023 ; 7( CHI PLAY): 422:1-422:29.[citado 2024 out. 10 ] Available from: https://doi.org/10.1145/3611068
  • Source: Scientific Reports. Unidade: ICMC

    Subjects: JOGOS DE COMPUTADOR, PESQUISA, LÍNGUA PORTUGUESA

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      SANTOS, Ana Cláudia Guimarães et al. Psychometric investigation of the gamification Hexad user types scale in Brazilian Portuguese. Scientific Reports, v. 12, p. 1-11, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41598-022-08820-x. Acesso em: 10 out. 2024.
    • APA

      Santos, A. C. G., Santos, W. O. dos, Altmeyer, M., Hamari, J., & Isotani, S. (2022). Psychometric investigation of the gamification Hexad user types scale in Brazilian Portuguese. Scientific Reports, 12, 1-11. doi:10.1038/s41598-022-08820-x
    • NLM

      Santos ACG, Santos WO dos, Altmeyer M, Hamari J, Isotani S. Psychometric investigation of the gamification Hexad user types scale in Brazilian Portuguese [Internet]. Scientific Reports. 2022 ; 12 1-11.[citado 2024 out. 10 ] Available from: https://doi.org/10.1038/s41598-022-08820-x
    • Vancouver

      Santos ACG, Santos WO dos, Altmeyer M, Hamari J, Isotani S. Psychometric investigation of the gamification Hexad user types scale in Brazilian Portuguese [Internet]. Scientific Reports. 2022 ; 12 1-11.[citado 2024 out. 10 ] Available from: https://doi.org/10.1038/s41598-022-08820-x
  • Source: Proceedings of the ACM on Human-Computer Interaction. Unidade: ICMC

    Subjects: JOGOS DE COMPUTADOR, MOTIVAÇÃO DO ALUNO, EDUCAÇÃO

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      RODRIGUES, Luiz Antonio Lima et al. Personalization improves gamification: evidence from a mixed-methods study. Proceedings of the ACM on Human-Computer Interaction, v. 5, n. CHI PLAY, p. 1-25, 2021Tradução . . Disponível em: https://doi.org/10.1145/3474714. Acesso em: 10 out. 2024.
    • APA

      Rodrigues, L. A. L., Palomino, P. T., Toda, A. M., Klock, A. C. T., Santos, W. O. dos, Santos, A. P. A., et al. (2021). Personalization improves gamification: evidence from a mixed-methods study. Proceedings of the ACM on Human-Computer Interaction, 5( CHI PLAY), 1-25. doi:10.1145/3474714
    • NLM

      Rodrigues LAL, Palomino PT, Toda AM, Klock ACT, Santos WO dos, Santos APA, Gasparini I, Isotani S. Personalization improves gamification: evidence from a mixed-methods study [Internet]. Proceedings of the ACM on Human-Computer Interaction. 2021 ; 5( CHI PLAY): 1-25.[citado 2024 out. 10 ] Available from: https://doi.org/10.1145/3474714
    • Vancouver

      Rodrigues LAL, Palomino PT, Toda AM, Klock ACT, Santos WO dos, Santos APA, Gasparini I, Isotani S. Personalization improves gamification: evidence from a mixed-methods study [Internet]. Proceedings of the ACM on Human-Computer Interaction. 2021 ; 5( CHI PLAY): 1-25.[citado 2024 out. 10 ] Available from: https://doi.org/10.1145/3474714
  • Source: Smart Learning Environments. Unidade: ICMC

    Subjects: APRENDIZAGEM, EDUCAÇÃO, JOGOS DE COMPUTADOR

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      SANTOS, Wilk Oliveira dos et al. Predicting students' flow experience through behavior data in gamified educational systems. Smart Learning Environments, v. 8, p. 1-8, 2021Tradução . . Disponível em: https://doi.org/10.1186/s40561-021-00175-6. Acesso em: 10 out. 2024.
    • APA

      Santos, W. O. dos, Tenório, K., Hamari, J., Pastushenko, O., & Isotani, S. (2021). Predicting students' flow experience through behavior data in gamified educational systems. Smart Learning Environments, 8, 1-8. doi:10.1186/s40561-021-00175-6
    • NLM

      Santos WO dos, Tenório K, Hamari J, Pastushenko O, Isotani S. Predicting students' flow experience through behavior data in gamified educational systems [Internet]. Smart Learning Environments. 2021 ; 8 1-8.[citado 2024 out. 10 ] Available from: https://doi.org/10.1186/s40561-021-00175-6
    • Vancouver

      Santos WO dos, Tenório K, Hamari J, Pastushenko O, Isotani S. Predicting students' flow experience through behavior data in gamified educational systems [Internet]. Smart Learning Environments. 2021 ; 8 1-8.[citado 2024 out. 10 ] Available from: https://doi.org/10.1186/s40561-021-00175-6

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