A deep learning workflow enhanced with optical flow fields for flood risk estimation (2024)
- Authors:
- USP affiliated authors: UEYAMA, JO - ICMC ; NISHIJIMA, MARISLEI - IRI ; RANIERI, CAETANO MAZZONI - ICMC ; SOUZA, THAIS LUIZA DONEGA E - EACH
- Unidades: ICMC; IRI; EACH
- DOI: 10.1007/s10489-024-05466-2
- Subjects: ENCHENTES URBANAS; APRENDIZAGEM PROFUNDA; PROCESSAMENTO DE IMAGENS; VISÃO COMPUTACIONAL; REDES NEURAIS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Applied Intelligence
- ISSN: 0924-669X
- Volume/Número/Paginação/Ano: v. 54, p. 5536-5557, 2024
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
RANIERI, Caetano Mazzoni et al. A deep learning workflow enhanced with optical flow fields for flood risk estimation. Applied Intelligence, v. 54, p. 5536-5557, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10489-024-05466-2. Acesso em: 28 dez. 2025. -
APA
Ranieri, C. M., Souza, T. L. D. e, Nishijima, M., Krishnamachari, B., & Ueyama, J. (2024). A deep learning workflow enhanced with optical flow fields for flood risk estimation. Applied Intelligence, 54, 5536-5557. doi:10.1007/s10489-024-05466-2 -
NLM
Ranieri CM, Souza TLD e, Nishijima M, Krishnamachari B, Ueyama J. A deep learning workflow enhanced with optical flow fields for flood risk estimation [Internet]. Applied Intelligence. 2024 ; 54 5536-5557.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1007/s10489-024-05466-2 -
Vancouver
Ranieri CM, Souza TLD e, Nishijima M, Krishnamachari B, Ueyama J. A deep learning workflow enhanced with optical flow fields for flood risk estimation [Internet]. Applied Intelligence. 2024 ; 54 5536-5557.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1007/s10489-024-05466-2 - Is a poster a strong signal of film quality?: evaluating the predictive power of visual elements using deep learning
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Informações sobre o DOI: 10.1007/s10489-024-05466-2 (Fonte: oaDOI API)
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