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Trabalho de evento-resumo periodico
A fault-tolerant indoor localization system with recurrent neural networks (2017)
Carvalho, Eduardo; Ferreira, Bruno V.; Filho, Geraldo P. R.; Ueyama, Jó ; Pessin, Gustavo
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Artificial Neural Networks - ICANN. Unidade: ICMC
Subjects: COMPUTAÇÃO MÓVEL, FALHAS COMPUTACIONAIS, APRENDIZADO COMPUTACIONAL, REDES NEURAIS, PROCESSAMENTO DE SINAIS, WIRELESS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 04 jul. 2025. , 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 2025 jul. 04 ] 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 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-319-68612-7
Trabalho de evento-anais periodico
A distributed approach to flood prediction using a WSN and ML: a comparative study of ml techniques in a WSN deployed in Brazil (2015)
Furquim, Gustavo; Pessin, Gustavo; Gomes, Pedro H; Mendiondo, Eduardo Mario ; Ueyama, Jó
Source: Lecture Notes in Computer Science. Conference titles: International Conference Intelligent Data Engineering and Automated Learning – IDEAL. Unidades: EESC, ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FURQUIM, Gustavo et al. A distributed approach to flood prediction using a WSN and ML: a comparative study of ml techniques in a WSN deployed in Brazil. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-24834-9_56. Acesso em: 04 jul. 2025. , 2015
APA
Furquim, G., Pessin, G., Gomes, P. H., Mendiondo, E. M., & Ueyama, J. (2015). A distributed approach to flood prediction using a WSN and ML: a comparative study of ml techniques in a WSN deployed in Brazil. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-24834-9_56
NLM
Furquim G, Pessin G, Gomes PH, Mendiondo EM, Ueyama J. A distributed approach to flood prediction using a WSN and ML: a comparative study of ml techniques in a WSN deployed in Brazil [Internet]. Lecture Notes in Computer Science. 2015 ;[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-319-24834-9_56
Vancouver
Furquim G, Pessin G, Gomes PH, Mendiondo EM, Ueyama J. A distributed approach to flood prediction using a WSN and ML: a comparative study of ml techniques in a WSN deployed in Brazil [Internet]. Lecture Notes in Computer Science. 2015 ;[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-319-24834-9_56
Trabalho de evento-anais periodico
A distributed approach to flood prediction using a WSN and ML: a comparative study of ML techniques in a WSN deployed in Brazil (2015)
Furquim, Gustavo; Pessin, Gustavo ; Gomes, Pedro H; Mendiondo, Eduardo Mario ; Ueyama, Jó
Source: Lecture Notes in Computer Science. Conference titles: Intelligent Data Engineering and Automated Learning - IDEAL 2015. Unidades: EESC, ICMC
Subjects: ENCHENTES URBANAS, WIRELESS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FURQUIM, Gustavo et al. A distributed approach to flood prediction using a WSN and ML: a comparative study of ML techniques in a WSN deployed in Brazil. Lecture Notes in Computer Science. Cham: Springer International Publishing. Disponível em: https://doi.org/10.1007/978-3-319-24834-9_56. Acesso em: 04 jul. 2025. , 2015
APA
Furquim, G., Pessin, G., Gomes, P. H., Mendiondo, E. M., & Ueyama, J. (2015). A distributed approach to flood prediction using a WSN and ML: a comparative study of ML techniques in a WSN deployed in Brazil. Lecture Notes in Computer Science. Cham: Springer International Publishing. doi:10.1007/978-3-319-24834-9_56
NLM
Furquim G, Pessin G, Gomes PH, Mendiondo EM, Ueyama J. A distributed approach to flood prediction using a WSN and ML: a comparative study of ML techniques in a WSN deployed in Brazil [Internet]. Lecture Notes in Computer Science. 2015 ;[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-319-24834-9_56
Vancouver
Furquim G, Pessin G, Gomes PH, Mendiondo EM, Ueyama J. A distributed approach to flood prediction using a WSN and ML: a comparative study of ML techniques in a WSN deployed in Brazil [Internet]. Lecture Notes in Computer Science. 2015 ;[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-319-24834-9_56
Trabalho de evento-anais periodico
Improving efficiency of a genetic algorithm applied to multi-robot tactic operation (2010)
Pessin, Gustavo; Osório, Fernando Santos ; Wolf, Denis Fernando ; Brasil, Christiane Regina Soares
Source: Lecture Notes in Computer Science. Conference titles: Ibero-American Conference on Artificial Intelligence - IBERAMIA. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PESSIN, Gustavo et al. Improving efficiency of a genetic algorithm applied to multi-robot tactic operation. Lecture Notes in Computer Science. Heidelberg: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-16952-6_6. Acesso em: 04 jul. 2025. , 2010
APA
Pessin, G., Osório, F. S., Wolf, D. F., & Brasil, C. R. S. (2010). Improving efficiency of a genetic algorithm applied to multi-robot tactic operation. Lecture Notes in Computer Science. Heidelberg: Springer-Verlag. doi:10.1007/978-3-642-16952-6_6
NLM
Pessin G, Osório FS, Wolf DF, Brasil CRS. Improving efficiency of a genetic algorithm applied to multi-robot tactic operation [Internet]. Lecture Notes in Computer Science. 2010 ; 6433 50-59.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-642-16952-6_6
Vancouver
Pessin G, Osório FS, Wolf DF, Brasil CRS. Improving efficiency of a genetic algorithm applied to multi-robot tactic operation [Internet]. Lecture Notes in Computer Science. 2010 ; 6433 50-59.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-642-16952-6_6

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