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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: 18 fev. 2026.
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 2026 fev. 18 ] 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 2026 fev. 18 ] 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: 18 fev. 2026.
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 2026 fev. 18 ] 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 2026 fev. 18 ] 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: 18 fev. 2026.
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 2026 fev. 18 ] 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 2026 fev. 18 ] 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: 18 fev. 2026.
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 2026 fev. 18 ] 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 2026 fev. 18 ] Available from: https://doi.org/10.1109/TITS.2021.3091411
Tese (Doutorado)
Airspace capacity artificial intelligence model in UAM environment based on the airspace complexity (2021)
Baum, Derick Moreira; Camargo Júnior, João Batista (Orientador)
Unidade: EP
Subjects: INTELIGÊNCIA ARTIFICIAL, TRÁFEGO AÉREO, ESPAÇO AÉREO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BAUM, Derick Moreira. Airspace capacity artificial intelligence model in UAM environment based on the airspace complexity. 2021. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2021. Disponível em: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-09082023-083319/. Acesso em: 18 fev. 2026.
APA
Baum, D. M. (2021). Airspace capacity artificial intelligence model in UAM environment based on the airspace complexity (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/3/3141/tde-09082023-083319/
NLM
Baum DM. Airspace capacity artificial intelligence model in UAM environment based on the airspace complexity [Internet]. 2021 ;[citado 2026 fev. 18 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-09082023-083319/
Vancouver
Baum DM. Airspace capacity artificial intelligence model in UAM environment based on the airspace complexity [Internet]. 2021 ;[citado 2026 fev. 18 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3141/tde-09082023-083319/
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: 18 fev. 2026.
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 2026 fev. 18 ] 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 2026 fev. 18 ] Available from: https://doi.org/10.1109/ACCESS.2021.3102892
Trabalho de evento
Scenarios for the use of eVTOLs using multiagent systems with Netlogo: comparison of parameters and the impact on UAM (2021)
Ferrare, Felipe Desiglo; Camargo Júnior, João Batista ; Baum, Derick Moreira; Cugnasca, Paulo Sérgio ; Almeida Junior, Jorge Rady de
Source: DASC: IEEE/AIAA. Conference titles: Digital Avionics Systems Conference. Unidade: EP
Subjects: TRANSPORTE AÉREO, MOBILIDADE URBANA, LOGOTIPOS, SIMULAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERRARE, Felipe Desiglo et al. Scenarios for the use of eVTOLs using multiagent systems with Netlogo: comparison of parameters and the impact on UAM. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/DASC52595.2021.9594507. Acesso em: 18 fev. 2026.
APA
Ferrare, F. D., Camargo Júnior, J. B., Baum, D. M., Cugnasca, P. S., & Almeida Junior, J. R. de. (2021). Scenarios for the use of eVTOLs using multiagent systems with Netlogo: comparison of parameters and the impact on UAM. In DASC: IEEE/AIAA. Piscataway: IEEE. doi:10.1109/DASC52595.2021.9594507
NLM
Ferrare FD, Camargo Júnior JB, Baum DM, Cugnasca PS, Almeida Junior JR de. Scenarios for the use of eVTOLs using multiagent systems with Netlogo: comparison of parameters and the impact on UAM [Internet]. DASC: IEEE/AIAA. 2021 ;[citado 2026 fev. 18 ] Available from: https://doi.org/10.1109/DASC52595.2021.9594507
Vancouver
Ferrare FD, Camargo Júnior JB, Baum DM, Cugnasca PS, Almeida Junior JR de. Scenarios for the use of eVTOLs using multiagent systems with Netlogo: comparison of parameters and the impact on UAM [Internet]. DASC: IEEE/AIAA. 2021 ;[citado 2026 fev. 18 ] Available from: https://doi.org/10.1109/DASC52595.2021.9594507
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: 18 fev. 2026.
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 2026 fev. 18 ] 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 2026 fev. 18 ] Available from: https://doi.org/10.1109/ACCESS.2019.2952973

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