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Artigo de periodico
Towards planning urban air mobility(UAM)landing trajectories in emergencies (2025)
Pinto Neto, Euclides Carlos ; Baum, Derick Moreira; Almeida Junior, Jorge Rady de ; Camargo Júnior, João Batista ; Cugnasca, Paulo Sérgio
Source: Journal of Intelligent & Robotic Systems. Unidade: EP
Subjects: TRANSPORTE AÉREO, MOBILIDADE URBANA, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINTO NETO, Euclides Carlos et al. Towards planning urban air mobility(UAM)landing trajectories in emergencies. Journal of Intelligent & Robotic Systems, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10846-024-02213-0. Acesso em: 27 nov. 2025.
APA
Pinto Neto, E. C., Baum, D. M., Almeida Junior, J. R. de, Camargo Júnior, J. B., & Cugnasca, P. S. (2025). Towards planning urban air mobility(UAM)landing trajectories in emergencies. Journal of Intelligent & Robotic Systems. doi:10.1007/s10846-024-02213-0
NLM
Pinto Neto EC, Baum DM, Almeida Junior JR de, Camargo Júnior JB, Cugnasca PS. Towards planning urban air mobility(UAM)landing trajectories in emergencies [Internet]. Journal of Intelligent & Robotic Systems. 2025 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10846-024-02213-0
Vancouver
Pinto Neto EC, Baum DM, Almeida Junior JR de, Camargo Júnior JB, Cugnasca PS. Towards planning urban air mobility(UAM)landing trajectories in emergencies [Internet]. Journal of Intelligent & Robotic Systems. 2025 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/s10846-024-02213-0
Artigo de periodico
Building interfaces between unmanned aircraft systems (UAS), air traffic controllers (ATCo), and the national airspace system (NAS): a software training platform (2024)
Pinto Neto, Euclides Carlos ; Baum, Derick Moreira; Almeida Junior, Jorge Rady de ; Camargo Júnior, João Batista ; Cugnasca, Paulo Sérgio
Source: Transportation Engineering. Unidade: EP
Subjects: TRÁFEGO AÉREO, AERONAVES NÃO TRIPULADAS, ESPAÇO AÉREO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINTO NETO, Euclides Carlos et al. Building interfaces between unmanned aircraft systems (UAS), air traffic controllers (ATCo), and the national airspace system (NAS): a software training platform. Transportation Engineering, v. 17, p. 1-13, 2024Tradução . . Disponível em: http://dx.doi.org/10.1016/j.treng.2024.100266. Acesso em: 27 nov. 2025.
APA
Pinto Neto, E. C., Baum, D. M., Almeida Junior, J. R. de, Camargo Júnior, J. B., & Cugnasca, P. S. (2024). Building interfaces between unmanned aircraft systems (UAS), air traffic controllers (ATCo), and the national airspace system (NAS): a software training platform. Transportation Engineering, 17, 1-13. doi:10.1016/j.treng.2024.100266
NLM
Pinto Neto EC, Baum DM, Almeida Junior JR de, Camargo Júnior JB, Cugnasca PS. Building interfaces between unmanned aircraft systems (UAS), air traffic controllers (ATCo), and the national airspace system (NAS): a software training platform [Internet]. Transportation Engineering. 2024 ; 17 1-13.[citado 2025 nov. 27 ] Available from: http://dx.doi.org/10.1016/j.treng.2024.100266
Vancouver
Pinto Neto EC, Baum DM, Almeida Junior JR de, Camargo Júnior JB, Cugnasca PS. Building interfaces between unmanned aircraft systems (UAS), air traffic controllers (ATCo), and the national airspace system (NAS): a software training platform [Internet]. Transportation Engineering. 2024 ; 17 1-13.[citado 2025 nov. 27 ] Available from: http://dx.doi.org/10.1016/j.treng.2024.100266
Artigo de periodico
Deep learning in air traffic management (ATM): a survey on applications, opportunities, and open challenges (2023)
Pinto Neto, Euclides Carlos ; Baum, Derick Moreira; Almeida Junior, Jorge Rady de ; Camargo Júnior, João Batista ; Cugnasca, Paulo Sérgio
Source: Aerospace. Unidade: EP
Subjects: APRENDIZAGEM PROFUNDA, TRÁFEGO AÉREO, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINTO NETO, Euclides Carlos et al. Deep learning in air traffic management (ATM): a survey on applications, opportunities, and open challenges. Aerospace, v. 10, n. 4, p. 1-30, 2023Tradução . . Disponível em: https://doi.org/10.3390/aerospace10040358. Acesso em: 27 nov. 2025.
APA
Pinto Neto, E. C., Baum, D. M., Almeida Junior, J. R. de, Camargo Júnior, J. B., & Cugnasca, P. S. (2023). Deep learning in air traffic management (ATM): a survey on applications, opportunities, and open challenges. Aerospace, 10( 4), 1-30. doi:10.3390/aerospace10040358
NLM
Pinto Neto EC, Baum DM, Almeida Junior JR de, Camargo Júnior JB, Cugnasca PS. Deep learning in air traffic management (ATM): a survey on applications, opportunities, and open challenges [Internet]. Aerospace. 2023 ;10( 4): 1-30.[citado 2025 nov. 27 ] Available from: https://doi.org/10.3390/aerospace10040358
Vancouver
Pinto Neto EC, Baum DM, Almeida Junior JR de, Camargo Júnior JB, Cugnasca PS. Deep learning in air traffic management (ATM): a survey on applications, opportunities, and open challenges [Internet]. Aerospace. 2023 ;10( 4): 1-30.[citado 2025 nov. 27 ] Available from: https://doi.org/10.3390/aerospace10040358
Artigo de periodico
A trajectory evaluation platform for urban air mobility (UAM) (2022)
Pinto Neto, Euclides Carlos ; Baum, Derick Moreira; Almeida Junior, Jorge Rady de ; Camargo Júnior, João Batista ; Cugnasca, Paulo Sérgio
Source: IEEE Transactions on Intelligent Transportation Systems. Unidade: EP
Subjects: MOBILIDADE URBANA, VEÍCULOS GUIADOS REMOTAMENTE, AERONAVES NÃO TRIPULADAS, TRAJETÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINTO NETO, Euclides Carlos et al. A trajectory evaluation platform for urban air mobility (UAM). IEEE Transactions on Intelligent Transportation Systems, v. 23, n. 7, p. 9136-9145, 2022Tradução . . Disponível em: https://doi.org/10.1109/TITS.2021.3091411. Acesso em: 27 nov. 2025.
APA
Pinto Neto, E. C., Baum, D. M., Almeida Junior, J. R. de, Camargo Júnior, J. B., & Cugnasca, P. S. (2022). A trajectory evaluation platform for urban air mobility (UAM). IEEE Transactions on Intelligent Transportation Systems, 23( 7), 9136-9145. doi:10.1109/TITS.2021.3091411
NLM
Pinto Neto EC, Baum DM, Almeida Junior JR de, Camargo Júnior JB, Cugnasca PS. A trajectory evaluation platform for urban air mobility (UAM) [Internet]. IEEE Transactions on Intelligent Transportation Systems. 2022 ; 23( 7): 9136-9145.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/TITS.2021.3091411
Vancouver
Pinto Neto EC, Baum DM, Almeida Junior JR de, Camargo Júnior JB, Cugnasca PS. A trajectory evaluation platform for urban air mobility (UAM) [Internet]. IEEE Transactions on Intelligent Transportation Systems. 2022 ; 23( 7): 9136-9145.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/TITS.2021.3091411
Tese (Doutorado)
Parallel metaheuristics for planning Urban Air Mobility (UAM) landing trajectories in emergencies (2021)
Pinto Neto, Euclides Carlos ; Cugnasca, Paulo Sérgio (Orientador)
Unidade: EP
Subjects: ESPAÇO AÉREO, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINTO NETO, Euclides Carlos. Parallel metaheuristics for planning Urban Air Mobility (UAM) landing trajectories in emergencies. 2021. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2021. Disponível em: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-30042025-081319/pt-br.php. Acesso em: 27 nov. 2025.
APA
Pinto Neto, E. C. (2021). Parallel metaheuristics for planning Urban Air Mobility (UAM) landing trajectories in emergencies (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/3/3141/tde-30042025-081319/pt-br.php
NLM
Pinto Neto EC. Parallel metaheuristics for planning Urban Air Mobility (UAM) landing trajectories in emergencies [Internet]. 2021 ;[citado 2025 nov. 27 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-30042025-081319/pt-br.php
Vancouver
Pinto Neto EC. Parallel metaheuristics for planning Urban Air Mobility (UAM) landing trajectories in emergencies [Internet]. 2021 ;[citado 2025 nov. 27 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-30042025-081319/pt-br.php
Artigo de periodico
Swarm-based optimization of final arrival segments considering the UAS integration in the National Airspace system (2021)
Pinto Neto, Euclides Carlos ; Baum, Derick Moreira; Almeida Junior, Jorge Rady de ; Camargo Júnior, João Batista ; Cugnasca, Paulo Sérgio
Source: IEEE Access. Unidade: EP
Subjects: AERONAVES NÃO TRIPULADAS, COMPUTAÇÃO EVOLUTIVA, ESPAÇO AÉREO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINTO NETO, Euclides Carlos et al. Swarm-based optimization of final arrival segments considering the UAS integration in the National Airspace system. IEEE Access, v. 9, p. 112372-112387, 2021Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2021.3102892. Acesso em: 27 nov. 2025.
APA
Pinto Neto, E. C., Baum, D. M., Almeida Junior, J. R. de, Camargo Júnior, J. B., & Cugnasca, P. S. (2021). Swarm-based optimization of final arrival segments considering the UAS integration in the National Airspace system. IEEE Access, 9, 112372-112387. doi:10.1109/ACCESS.2021.3102892
NLM
Pinto Neto EC, Baum DM, Almeida Junior JR de, Camargo Júnior JB, Cugnasca PS. Swarm-based optimization of final arrival segments considering the UAS integration in the National Airspace system [Internet]. IEEE Access. 2021 ;9 112372-112387.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/ACCESS.2021.3102892
Vancouver
Pinto Neto EC, Baum DM, Almeida Junior JR de, Camargo Júnior JB, Cugnasca PS. Swarm-based optimization of final arrival segments considering the UAS integration in the National Airspace system [Internet]. IEEE Access. 2021 ;9 112372-112387.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/ACCESS.2021.3102892
Artigo de periodico
A mindset-based evolution of unmanned aircraft system (UAS) acceptance into the National Airspace System (NAS). (2020)
Baum, Derick Moreira; Pinto Neto, Euclides Carlos ; Almeida Junior, Jorge Rady de ; Camargo Júnior, João Batista ; Cugnasca, Paulo Sérgio
Source: IEEE Access. Unidade: EP
Subjects: TRÁFEGO AÉREO, AERONAVES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BAUM, Derick Moreira et al. A mindset-based evolution of unmanned aircraft system (UAS) acceptance into the National Airspace System (NAS). IEEE Access, v. 8, p. 30938-30952, 2020Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2019.2952973. Acesso em: 27 nov. 2025.
APA
Baum, D. M., Pinto Neto, E. C., Almeida Junior, J. R. de, Camargo Júnior, J. B., & Cugnasca, P. S. (2020). A mindset-based evolution of unmanned aircraft system (UAS) acceptance into the National Airspace System (NAS). IEEE Access, 8, 30938-30952. doi:10.1109/ACCESS.2019.2952973
NLM
Baum DM, Pinto Neto EC, Almeida Junior JR de, Camargo Júnior JB, Cugnasca PS. A mindset-based evolution of unmanned aircraft system (UAS) acceptance into the National Airspace System (NAS). [Internet]. IEEE Access. 2020 ; 8 30938-30952.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/ACCESS.2019.2952973
Vancouver
Baum DM, Pinto Neto EC, Almeida Junior JR de, Camargo Júnior JB, Cugnasca PS. A mindset-based evolution of unmanned aircraft system (UAS) acceptance into the National Airspace System (NAS). [Internet]. IEEE Access. 2020 ; 8 30938-30952.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/ACCESS.2019.2952973
Dissertação (Mestrado)
Swarm-based optimization of final arrival segments considering the unmanned aircraft system integration into the non-segregated airspace (2018)
Pinto Neto, Euclides Carlos ; Cugnasca, Paulo Sérgio (Orientador)
Unidade: EP
Subjects: AERONAVES NÃO TRIPULADAS, ESPAÇO AÉREO, COMPUTAÇÃO EVOLUTIVA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINTO NETO, Euclides Carlos. Swarm-based optimization of final arrival segments considering the unmanned aircraft system integration into the non-segregated airspace. 2018. Dissertação (Mestrado) – Universidade de São Paulo, São Paulo, 2018. Disponível em: http://www.teses.usp.br/teses/disponiveis/3/3141/tde-27082018-084113/. Acesso em: 27 nov. 2025.
APA
Pinto Neto, E. C. (2018). Swarm-based optimization of final arrival segments considering the unmanned aircraft system integration into the non-segregated airspace (Dissertação (Mestrado). Universidade de São Paulo, São Paulo. Recuperado de http://www.teses.usp.br/teses/disponiveis/3/3141/tde-27082018-084113/
NLM
Pinto Neto EC. Swarm-based optimization of final arrival segments considering the unmanned aircraft system integration into the non-segregated airspace [Internet]. 2018 ;[citado 2025 nov. 27 ] Available from: http://www.teses.usp.br/teses/disponiveis/3/3141/tde-27082018-084113/
Vancouver
Pinto Neto EC. Swarm-based optimization of final arrival segments considering the unmanned aircraft system integration into the non-segregated airspace [Internet]. 2018 ;[citado 2025 nov. 27 ] Available from: http://www.teses.usp.br/teses/disponiveis/3/3141/tde-27082018-084113/

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