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Filtros : "Marrocos" "Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)" Removidos: "Duarte, Marco Antonio Hungaro" "FERRAZ, KATIA MARIA PASCHOALETTO MICCHI DE BARROS" "Nova Zelândia" Limpar

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  • Trabalho de evento

    Lidar-based soybean crop segmentation for autonomous navigation (2020)

    Higuti, Vitor Akihiro Hisano; Velazquez, A. E. B.; Gasparino, Mateus Valverde; Magalhães, Daniel Varela ; Aroca, Rafael Vidal ; Milori, Debora Marcondes Bastos Pereira ; Becker, Marcelo

    Source: Proceedings. Conference titles: African Conference on Precision Agriculture. Unidades: EESC, IQSC

    Subjects: VEÍCULOS GUIADOS REMOTAMENTE, ROBÓTICA, LAVOURA, ENGENHARIA MECÂNICA

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    • ABNT

      HIGUTI, Vitor Akihiro Hisano et al. Lidar-based soybean crop segmentation for autonomous navigation. 2020, Anais.. Benguérir, Morocco: APNI, 2020. Disponível em: https://repositorio.usp.br/directbitstream/81f7e7da-481c-4986-8620-4a103a66f479/OK___trabalho%2011%20-%20LiDAR-based%20Soybean%20Crop%20Segmentation%20for%20Autonomous%20Navigation%20%28AfCPA%202020%29.pdf. Acesso em: 26 jun. 2024.

    • APA

      Higuti, V. A. H., Velazquez, A. E. B., Gasparino, M. V., Magalhães, D. V., Aroca, R. V., Milori, D. M. B. P., & Becker, M. (2020). Lidar-based soybean crop segmentation for autonomous navigation. In Proceedings. Benguérir, Morocco: APNI. Recuperado de https://repositorio.usp.br/directbitstream/81f7e7da-481c-4986-8620-4a103a66f479/OK___trabalho%2011%20-%20LiDAR-based%20Soybean%20Crop%20Segmentation%20for%20Autonomous%20Navigation%20%28AfCPA%202020%29.pdf

    • NLM

      Higuti VAH, Velazquez AEB, Gasparino MV, Magalhães DV, Aroca RV, Milori DMBP, Becker M. Lidar-based soybean crop segmentation for autonomous navigation [Internet]. Proceedings. 2020 ;[citado 2024 jun. 26 ] Available from: https://repositorio.usp.br/directbitstream/81f7e7da-481c-4986-8620-4a103a66f479/OK___trabalho%2011%20-%20LiDAR-based%20Soybean%20Crop%20Segmentation%20for%20Autonomous%20Navigation%20%28AfCPA%202020%29.pdf

    • Vancouver

      Higuti VAH, Velazquez AEB, Gasparino MV, Magalhães DV, Aroca RV, Milori DMBP, Becker M. Lidar-based soybean crop segmentation for autonomous navigation [Internet]. Proceedings. 2020 ;[citado 2024 jun. 26 ] Available from: https://repositorio.usp.br/directbitstream/81f7e7da-481c-4986-8620-4a103a66f479/OK___trabalho%2011%20-%20LiDAR-based%20Soybean%20Crop%20Segmentation%20for%20Autonomous%20Navigation%20%28AfCPA%202020%29.pdf

  • Trabalho de evento

    Data analytics method based on feature extraction for voltage sag source location (2016)

    Borges, Fábbio Anderson Silva; Silva, Ivan Nunes da ; Fernandes, Ricardo A. S

    Source: Proceedings of META’2016. Conference titles: International Conference on Metaheuristics and Nature Inspired computing. Unidade: EESC

    Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, FALHA

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    • ABNT

      BORGES, Fábbio Anderson Silva e SILVA, Ivan Nunes da e FERNANDES, Ricardo A. S. Data analytics method based on feature extraction for voltage sag source location. 2016, Anais.. Marrocos: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2016. Disponível em: https://repositorio.usp.br/directbitstream/6b8ccc16-181c-4823-80c7-2c0df941e2a9/sysno3187826_trabalho%2020.pdf. Acesso em: 26 jun. 2024.

    • APA

      Borges, F. A. S., Silva, I. N. da, & Fernandes, R. A. S. (2016). Data analytics method based on feature extraction for voltage sag source location. In Proceedings of META’2016. Marrocos: Escola de Engenharia de São Carlos, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/6b8ccc16-181c-4823-80c7-2c0df941e2a9/sysno3187826_trabalho%2020.pdf

    • NLM

      Borges FAS, Silva IN da, Fernandes RAS. Data analytics method based on feature extraction for voltage sag source location [Internet]. Proceedings of META’2016. 2016 ;[citado 2024 jun. 26 ] Available from: https://repositorio.usp.br/directbitstream/6b8ccc16-181c-4823-80c7-2c0df941e2a9/sysno3187826_trabalho%2020.pdf

    • Vancouver

      Borges FAS, Silva IN da, Fernandes RAS. Data analytics method based on feature extraction for voltage sag source location [Internet]. Proceedings of META’2016. 2016 ;[citado 2024 jun. 26 ] Available from: https://repositorio.usp.br/directbitstream/6b8ccc16-181c-4823-80c7-2c0df941e2a9/sysno3187826_trabalho%2020.pdf
  • 1

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