Segmentation-augmented flood risk classification for nighttime river monitoring (2026)
- Authors:
- USP affiliated authors: MOREIRA, DILVAN DE ABREU - ICMC ; UEYAMA, JO - ICMC ; ROCHA, ARTHUR LIMA MARQUES - ICMC ; PERINO, JOAO AUGUSTO COSTA - EESC ; NASCIMENTO, PEDRO TEODORO DO - EESC E ICMC ; VANZIN, VINÍCIUS JOÃO DE BARROS - ICMC ; MATOS, SAULO NEVES - ICMC
- Unidades: ICMC; EESC; EESC E ICMC
- DOI: 10.1007/978-3-032-15993-9_32
- Subjects: VISÃO COMPUTACIONAL; PROCESSAMENTO DE IMAGENS; APRENDIZAGEM PROFUNDA; ENCHENTES URBANAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Artificial Intelligence
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 16182, p. 470-484, 2026
- Conference titles: Brazilian Conference on Intelligent Systems - BRACIS
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ROCHA, Arthur Lima Marques et al. Segmentation-augmented flood risk classification for nighttime river monitoring. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-15993-9_32. Acesso em: 25 fev. 2026. , 2026 -
APA
Rocha, A. L. M., Perino, J. A. C., Vanzin, V. J. de B., Teodoro, P., Matos, S. N., Moreira, D. de A., et al. (2026). Segmentation-augmented flood risk classification for nighttime river monitoring. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-032-15993-9_32 -
NLM
Rocha ALM, Perino JAC, Vanzin VJ de B, Teodoro P, Matos SN, Moreira D de A, Ranieri CM, Ueyama J. Segmentation-augmented flood risk classification for nighttime river monitoring [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16182 470-484.[citado 2026 fev. 25 ] Available from: https://doi.org/10.1007/978-3-032-15993-9_32 -
Vancouver
Rocha ALM, Perino JAC, Vanzin VJ de B, Teodoro P, Matos SN, Moreira D de A, Ranieri CM, Ueyama J. Segmentation-augmented flood risk classification for nighttime river monitoring [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16182 470-484.[citado 2026 fev. 25 ] Available from: https://doi.org/10.1007/978-3-032-15993-9_32 - Mapeamento de termos SIGTAP para vocabulários Observational Medical Outcomes Partnership (OMOP) por agentes baseados em large language models
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Informações sobre o DOI: 10.1007/978-3-032-15993-9_32 (Fonte: oaDOI API)
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