A fault-tolerant indoor localization system with recurrent neural networks (2017)
- Authors:
- Autor USP: UEYAMA, JO - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-319-68612-7
- Subjects: COMPUTAÇÃO MÓVEL; FALHAS COMPUTACIONAIS; APRENDIZADO COMPUTACIONAL; REDES NEURAIS; PROCESSAMENTO DE SINAIS; WIRELESS
- Keywords: Fault tolerant; Indoor localization; Recurrent neural networks; Gated recurrent unit; Long short-term memory
- Language: Inglês
- Imprenta:
- Publisher: Springer Nature Switzerland AG
- Publisher place: Cham
- Date published: 2017
- Source:
- Título do periódico: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 10614, p. 761-762, 2017
- Conference titles: International Conference on Artificial Neural Networks - ICANN
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
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ABNT
CARVALHO, Eduardo et al. A fault-tolerant indoor localization system with recurrent neural networks. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland AG. Disponível em: https://doi.org/10.1007/978-3-319-68612-7. Acesso em: 28 mar. 2024. , 2017 -
APA
Carvalho, E., Ferreira, B. V., Filho, G. P. R., Ueyama, J., & Pessin, G. (2017). A fault-tolerant indoor localization system with recurrent neural networks. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland AG. doi:10.1007/978-3-319-68612-7 -
NLM
Carvalho E, Ferreira BV, Filho GPR, Ueyama J, Pessin G. A fault-tolerant indoor localization system with recurrent neural networks [Internet]. Lecture Notes in Computer Science. 2017 ; 10614 761-762.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1007/978-3-319-68612-7 -
Vancouver
Carvalho E, Ferreira BV, Filho GPR, Ueyama J, Pessin G. A fault-tolerant indoor localization system with recurrent neural networks [Internet]. Lecture Notes in Computer Science. 2017 ; 10614 761-762.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1007/978-3-319-68612-7 - Contribuições para a rede sem fio
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Informações sobre o DOI: 10.1007/978-3-319-68612-7 (Fonte: oaDOI API)
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