Health monitoring system for autonomous vehicles using dynamic bayesian networks for diagnosis and prognosis (2021)
- Autores:
- Autores USP: WOLF, DENIS FERNANDO - ICMC ; GOMES, IAGO PACHECO - ICMC
- Unidade: ICMC
- DOI: 10.1007/s10846-020-01293-y
- Assuntos: VEÍCULOS AUTÔNOMOS; FALHAS COMPUTACIONAIS; APRENDIZADO COMPUTACIONAL; SISTEMAS DINÂMICOS
- Palavras-chave do autor: Health monitoring system; Prognosis system; Fault detection and diagnosis; Autonomous vehicle; Dynamic bayesian network
- Agências de fomento:
- Idioma: Inglês
- Imprenta:
- Fonte:
- Título do periódico: Journal of Intelligent & Robotic Systems
- ISSN: 0921-0296
- Volume/Número/Paginação/Ano: v. 101, n. 1, p. 1-21, Jan. 2021
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
GOMES, Iago Pachêco e WOLF, Denis Fernando. Health monitoring system for autonomous vehicles using dynamic bayesian networks for diagnosis and prognosis. Journal of Intelligent & Robotic Systems, v. 101, n. Ja 2021, p. 1-21, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10846-020-01293-y. Acesso em: 18 set. 2024. -
APA
Gomes, I. P., & Wolf, D. F. (2021). Health monitoring system for autonomous vehicles using dynamic bayesian networks for diagnosis and prognosis. Journal of Intelligent & Robotic Systems, 101( Ja 2021), 1-21. doi:10.1007/s10846-020-01293-y -
NLM
Gomes IP, Wolf DF. Health monitoring system for autonomous vehicles using dynamic bayesian networks for diagnosis and prognosis [Internet]. Journal of Intelligent & Robotic Systems. 2021 ; 101( Ja 2021): 1-21.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s10846-020-01293-y -
Vancouver
Gomes IP, Wolf DF. Health monitoring system for autonomous vehicles using dynamic bayesian networks for diagnosis and prognosis [Internet]. Journal of Intelligent & Robotic Systems. 2021 ; 101( Ja 2021): 1-21.[citado 2024 set. 18 ] Available from: https://doi.org/10.1007/s10846-020-01293-y - Driving style recognition using interval type-2 fuzzy inference system and multiple experts decision-making
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Informações sobre o DOI: 10.1007/s10846-020-01293-y (Fonte: oaDOI API)
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