Filtros : "2022" "Expert Systems with Applications: an international journal" Limpar

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  • Fonte: Expert Systems with Applications. Unidade: ICMC

    Assuntos: APRENDIZADO COMPUTACIONAL, RECUPERAÇÃO DA INFORMAÇÃO, REPRESENTAÇÃO DA INFORMAÇÃO, MÚSICA

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    • ABNT

      SILVA, Angelo Cesar Mendes da e SILVA, Diego Furtado e MARCACINI, Ricardo Marcondes. Multimodal representation learning over heterogeneous networks for tag-based music retrieval. Expert Systems with Applications, v. No 2022, p. 1-9, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.117969. Acesso em: 03 nov. 2024.
    • APA

      Silva, A. C. M. da, Silva, D. F., & Marcacini, R. M. (2022). Multimodal representation learning over heterogeneous networks for tag-based music retrieval. Expert Systems with Applications, No 2022, 1-9. doi:10.1016/j.eswa.2022.117969
    • NLM

      Silva ACM da, Silva DF, Marcacini RM. Multimodal representation learning over heterogeneous networks for tag-based music retrieval [Internet]. Expert Systems with Applications. 2022 ; No 2022 1-9.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2022.117969
    • Vancouver

      Silva ACM da, Silva DF, Marcacini RM. Multimodal representation learning over heterogeneous networks for tag-based music retrieval [Internet]. Expert Systems with Applications. 2022 ; No 2022 1-9.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2022.117969
  • Fonte: Expert Systems with Applications. Unidade: EESC

    Assuntos: VEÍCULOS AUTÔNOMOS, ALGORITMOS, ENGENHARIA ELÉTRICA

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      MORAIS, Gustavo Alves Prudencio de et al. Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization. Expert Systems with Applications, v. 192, p. 1-18, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.116304. Acesso em: 03 nov. 2024.
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      Morais, G. A. P. de, Marcos, L. B., Barbosa, F. M., Barbosa, B. H. G., Terra, M. H., & Grassi Júnior, V. (2022). Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization. Expert Systems with Applications, 192, 1-18. doi:10.1016/j.eswa.2021.116304
    • NLM

      Morais GAP de, Marcos LB, Barbosa FM, Barbosa BHG, Terra MH, Grassi Júnior V. Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization [Internet]. Expert Systems with Applications. 2022 ; 192 1-18.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2021.116304
    • Vancouver

      Morais GAP de, Marcos LB, Barbosa FM, Barbosa BHG, Terra MH, Grassi Júnior V. Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization [Internet]. Expert Systems with Applications. 2022 ; 192 1-18.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2021.116304
  • Fonte: Expert Systems with Applications. Unidade: FEA

    Assuntos: DINHEIRO ELETRÔNICO, MOEDAS, PREVISÃO ECONÔMICA, FINANÇAS

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    • ABNT

      MACIEL, Leandro dos Santos et al. Forecasting cryptocurrencies prices using data driven level set fuzzy models. Expert Systems with Applications, v. 210, 2022Tradução . . Disponível em: https://www.sciencedirect.com/science/article/pii/S0957417422014981. Acesso em: 03 nov. 2024.
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      Maciel, L. dos S., Ballini, R., Gomide, F., & Yager, R. (2022). Forecasting cryptocurrencies prices using data driven level set fuzzy models. Expert Systems with Applications, 210. doi:10.1016/j.eswa.2022.118387
    • NLM

      Maciel L dos S, Ballini R, Gomide F, Yager R. Forecasting cryptocurrencies prices using data driven level set fuzzy models [Internet]. Expert Systems with Applications. 2022 ; 210[citado 2024 nov. 03 ] Available from: https://www.sciencedirect.com/science/article/pii/S0957417422014981
    • Vancouver

      Maciel L dos S, Ballini R, Gomide F, Yager R. Forecasting cryptocurrencies prices using data driven level set fuzzy models [Internet]. Expert Systems with Applications. 2022 ; 210[citado 2024 nov. 03 ] Available from: https://www.sciencedirect.com/science/article/pii/S0957417422014981
  • Fonte: Expert Systems with Applications. Unidade: EESC

    Assuntos: REDE DE COMUNICAÇÃO, FALHA, ENGENHARIA MECÂNICA

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      SESTITO, Guilherme Serpa et al. Versatile unsupervised anomaly detection method for RTE-based networks. Expert Systems with Applications, v. 206, p. 1-8, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.117751. Acesso em: 03 nov. 2024.
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      Sestito, G. S., Turcato, A. C., Dias, A. L., Ferrari, P., & Silva, M. M. da. (2022). Versatile unsupervised anomaly detection method for RTE-based networks. Expert Systems with Applications, 206, 1-8. doi:10.1016/j.eswa.2022.117751
    • NLM

      Sestito GS, Turcato AC, Dias AL, Ferrari P, Silva MM da. Versatile unsupervised anomaly detection method for RTE-based networks [Internet]. Expert Systems with Applications. 2022 ; 206 1-8.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2022.117751
    • Vancouver

      Sestito GS, Turcato AC, Dias AL, Ferrari P, Silva MM da. Versatile unsupervised anomaly detection method for RTE-based networks [Internet]. Expert Systems with Applications. 2022 ; 206 1-8.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2022.117751
  • Fonte: Expert Systems with Applications. Unidade: EESC

    Assuntos: TOMADA DE DECISÃO, ANÁLISE DE RISCO, HOSPITAIS, ENGENHARIA DE PRODUÇÃO

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      ARANTES, Rafael Ferro Munhoz et al. A fuzzy multicriteria group decision approach for classification of failure modes in a hospital’s operating room. Expert Systems with Applications, v. 207, p. 1-16, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.117990. Acesso em: 03 nov. 2024.
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      Arantes, R. F. M., Calache, L. D. D. R., Zanon, L. G., Osiro, L., & Carpinetti, L. C. R. (2022). A fuzzy multicriteria group decision approach for classification of failure modes in a hospital’s operating room. Expert Systems with Applications, 207, 1-16. doi:10.1016/j.eswa.2022.117990
    • NLM

      Arantes RFM, Calache LDDR, Zanon LG, Osiro L, Carpinetti LCR. A fuzzy multicriteria group decision approach for classification of failure modes in a hospital’s operating room [Internet]. Expert Systems with Applications. 2022 ; 207 1-16.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2022.117990
    • Vancouver

      Arantes RFM, Calache LDDR, Zanon LG, Osiro L, Carpinetti LCR. A fuzzy multicriteria group decision approach for classification of failure modes in a hospital’s operating room [Internet]. Expert Systems with Applications. 2022 ; 207 1-16.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2022.117990
  • Fonte: Expert Systems with Applications. Unidade: EP

    Assunto: APRENDIZADO COMPUTACIONAL

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      FELIZARDO, Leonardo Kanashiro et al. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market. Expert Systems with Applications, v. 202, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.117259. Acesso em: 03 nov. 2024.
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      Felizardo, L. K., Brandimarte, P., Del Moral Hernandez, E., Costa, A. H. R., Matsumoto, E. Y., Paiva, F. C. L., & Graves, C. de V. (2022). Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market. Expert Systems with Applications, 202, 1-13. doi:10.1016/j.eswa.2022.117259
    • NLM

      Felizardo LK, Brandimarte P, Del Moral Hernandez E, Costa AHR, Matsumoto EY, Paiva FCL, Graves C de V. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market [Internet]. Expert Systems with Applications. 2022 ; 202 1-13.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2022.117259
    • Vancouver

      Felizardo LK, Brandimarte P, Del Moral Hernandez E, Costa AHR, Matsumoto EY, Paiva FCL, Graves C de V. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market [Internet]. Expert Systems with Applications. 2022 ; 202 1-13.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2022.117259
  • Fonte: Expert Systems with Applications. Unidade: EESC

    Assuntos: PROGRAMAÇÃO DINÂMICA, PESQUISA, ENGENHARIA DE PRODUÇÃO

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      SOUZA, Edson Antonio Gonçalves de e NAGANO, Marcelo Seido e ROLIM, Gustavo Alencar. Dynamic Programming algorithms and their applications in machine scheduling: a review. Expert Systems with Applications, v. 190, p. 1-35, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.116180. Acesso em: 03 nov. 2024.
    • APA

      Souza, E. A. G. de, Nagano, M. S., & Rolim, G. A. (2022). Dynamic Programming algorithms and their applications in machine scheduling: a review. Expert Systems with Applications, 190, 1-35. doi:10.1016/j.eswa.2021.116180
    • NLM

      Souza EAG de, Nagano MS, Rolim GA. Dynamic Programming algorithms and their applications in machine scheduling: a review [Internet]. Expert Systems with Applications. 2022 ; 190 1-35.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2021.116180
    • Vancouver

      Souza EAG de, Nagano MS, Rolim GA. Dynamic Programming algorithms and their applications in machine scheduling: a review [Internet]. Expert Systems with Applications. 2022 ; 190 1-35.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2021.116180
  • Fonte: Expert Systems with Applications. Unidade: ICMC

    Assuntos: REDES COMPLEXAS, ECONOMETRIA, CADEIA DE SUPRIMENTOS, OPERAÇÕES BANCÁRIAS

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      SILVA, Thiago Christiano e AMANCIO, Diego Raphael e TABAK, Benjamin Miranda. Modeling supply-chain networks with firm-to-firm wire transfers. Expert Systems with Applications, v. 190, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.116162. Acesso em: 03 nov. 2024.
    • APA

      Silva, T. C., Amancio, D. R., & Tabak, B. M. (2022). Modeling supply-chain networks with firm-to-firm wire transfers. Expert Systems with Applications, 190, 1-13. doi:10.1016/j.eswa.2021.116162
    • NLM

      Silva TC, Amancio DR, Tabak BM. Modeling supply-chain networks with firm-to-firm wire transfers [Internet]. Expert Systems with Applications. 2022 ; 190 1-13.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2021.116162
    • Vancouver

      Silva TC, Amancio DR, Tabak BM. Modeling supply-chain networks with firm-to-firm wire transfers [Internet]. Expert Systems with Applications. 2022 ; 190 1-13.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2021.116162
  • Fonte: Expert Systems with Applications. Unidade: EP

    Assuntos: TAXA DE CÂMBIO, FINANÇAS, BEHAVIORISMO, APRENDIZADO COMPUTACIONAL

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      MATSUMOTO, Élia Yathie et al. Forecasting US dollar exchange rate movement with computational models and human behavior. Expert Systems with Applications, v. 194, p. 1-14, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.116521. Acesso em: 03 nov. 2024.
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      Matsumoto, É. Y., Del Moral Hernandez, E., Yoshinaga, C. E., & Pinto, A. de C. (2022). Forecasting US dollar exchange rate movement with computational models and human behavior. Expert Systems with Applications, 194, 1-14. doi:10.1016/j.eswa.2022.116521
    • NLM

      Matsumoto ÉY, Del Moral Hernandez E, Yoshinaga CE, Pinto A de C. Forecasting US dollar exchange rate movement with computational models and human behavior [Internet]. Expert Systems with Applications. 2022 ; 194 1-14.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2022.116521
    • Vancouver

      Matsumoto ÉY, Del Moral Hernandez E, Yoshinaga CE, Pinto A de C. Forecasting US dollar exchange rate movement with computational models and human behavior [Internet]. Expert Systems with Applications. 2022 ; 194 1-14.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.eswa.2022.116521

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