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
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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: 12 out. 2024. , 2015APA
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_56NLM
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 2024 out. 12 ] Available from: https://doi.org/10.1007/978-3-319-24834-9_56Vancouver
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 2024 out. 12 ] Available from: https://doi.org/10.1007/978-3-319-24834-9_56