Filtros : "WOLF, DENIS FERNANDO" "ALGORITMOS" Removido: "2010" Limpar

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  • Source: International Journal of Fuzzy Systems. Unidade: ICMC

    Subjects: LÓGICA FUZZY, TOMADA DE DECISÃO, ALGORITMOS, VEÍCULOS

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    • ABNT

      GOMES, Iago Pachêco e WOLF, Denis Fernando. Driving style recognition using interval type-2 fuzzy inference system and multiple experts decision-making. International Journal of Fuzzy Systems, v. 26, n. 2, p. 553-571, 2024Tradução . . Disponível em: https://doi.org/10.1007/s40815-023-01616-9. Acesso em: 27 nov. 2025.
    • APA

      Gomes, I. P., & Wolf, D. F. (2024). Driving style recognition using interval type-2 fuzzy inference system and multiple experts decision-making. International Journal of Fuzzy Systems, 26( 2), 553-571. doi:10.1007/s40815-023-01616-9
    • NLM

      Gomes IP, Wolf DF. Driving style recognition using interval type-2 fuzzy inference system and multiple experts decision-making [Internet]. International Journal of Fuzzy Systems. 2024 ; 26( 2): 553-571.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s40815-023-01616-9
    • Vancouver

      Gomes IP, Wolf DF. Driving style recognition using interval type-2 fuzzy inference system and multiple experts decision-making [Internet]. International Journal of Fuzzy Systems. 2024 ; 26( 2): 553-571.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s40815-023-01616-9
  • Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidades: ICMC, EESC

    Subjects: ALGORITMOS, REDES NEURAIS

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    • ABNT

      HORITA, Luiz Ricardo Takeshi e WOLF, Denis Fernando e GRASSI JÚNIOR, Valdir. Effective deep reinforcement learning setups for multiple goals on visual navigation. 2020, Anais.. Piscataway: IEEE, 2020. Disponível em: https://doi.org/10.1109/IJCNN48605.2020.9206917. Acesso em: 27 nov. 2025.
    • APA

      Horita, L. R. T., Wolf, D. F., & Grassi Júnior, V. (2020). Effective deep reinforcement learning setups for multiple goals on visual navigation. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN48605.2020.9206917
    • NLM

      Horita LRT, Wolf DF, Grassi Júnior V. Effective deep reinforcement learning setups for multiple goals on visual navigation [Internet]. Proceedings. 2020 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/IJCNN48605.2020.9206917
    • Vancouver

      Horita LRT, Wolf DF, Grassi Júnior V. Effective deep reinforcement learning setups for multiple goals on visual navigation [Internet]. Proceedings. 2020 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/IJCNN48605.2020.9206917
  • Source: Proceedings. Conference titles: IEEE Intelligent Vehicles Symposium. Unidades: ICMC, EESC

    Subjects: VEÍCULOS GUIADOS REMOTAMENTE, SISTEMAS DE CONTROLE, ALGORITMOS

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      MASSERA FILHO, Carlos Alberto de Magalhães et al. Longitudinal and lateral control for autonomous ground vehicles. 2014, Anais.. Piscataway: IEEE, 2014. Disponível em: https://doi.org/10.1109/IVS.2014.6856431. Acesso em: 27 nov. 2025.
    • APA

      Massera Filho, C. A. de M., Wolf, D. F., Grassi Júnior, V., & Osório, F. S. (2014). Longitudinal and lateral control for autonomous ground vehicles. In Proceedings. Piscataway: IEEE. doi:10.1109/IVS.2014.6856431
    • NLM

      Massera Filho CA de M, Wolf DF, Grassi Júnior V, Osório FS. Longitudinal and lateral control for autonomous ground vehicles [Internet]. Proceedings. 2014 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/IVS.2014.6856431
    • Vancouver

      Massera Filho CA de M, Wolf DF, Grassi Júnior V, Osório FS. Longitudinal and lateral control for autonomous ground vehicles [Internet]. Proceedings. 2014 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/IVS.2014.6856431

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