Deep Learning and object detection for water level measurement using patterned visual markers (2024)
- Authors:
- USP affiliated authors: MENEGUETTE, RODOLFO IPOLITO - ICMC ; UEYAMA, JO - ICMC ; DOMINGUES FILHO, GABRIEL MONTAGNI - EESC ; MATOS, SAULO NEVES - ICMC
- Unidades: ICMC; EESC
- Subjects: APRENDIZAGEM PROFUNDA; VISÃO COMPUTACIONAL; ENCHENTES URBANAS
- Keywords: flood management; visual marker
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway
- Date published: 2024
- Source:
- Título: IEEE Latin America Transactions
- ISSN: 1548-0992
- Volume/Número/Paginação/Ano: v. 22, n. 11, p. 892–898, 2024
-
ABNT
DOMINGUES FILHO, Gabriel Montagni et al. Deep Learning and object detection for water level measurement using patterned visual markers. IEEE Latin America Transactions, v. 22, n. 11, p. 892–898, 2024Tradução . . Disponível em: https://latamt.ieeer9.org/index.php/transactions/article/view/9046. Acesso em: 28 dez. 2025. -
APA
Domingues Filho, G. M., Ranieri, C. M., Matos, S. N., Meneguette, R. I., & Ueyama, J. (2024). Deep Learning and object detection for water level measurement using patterned visual markers. IEEE Latin America Transactions, 22( 11), 892–898. Recuperado de https://latamt.ieeer9.org/index.php/transactions/article/view/9046 -
NLM
Domingues Filho GM, Ranieri CM, Matos SN, Meneguette RI, Ueyama J. Deep Learning and object detection for water level measurement using patterned visual markers [Internet]. IEEE Latin America Transactions. 2024 ; 22( 11): 892–898.[citado 2025 dez. 28 ] Available from: https://latamt.ieeer9.org/index.php/transactions/article/view/9046 -
Vancouver
Domingues Filho GM, Ranieri CM, Matos SN, Meneguette RI, Ueyama J. Deep Learning and object detection for water level measurement using patterned visual markers [Internet]. IEEE Latin America Transactions. 2024 ; 22( 11): 892–898.[citado 2025 dez. 28 ] Available from: https://latamt.ieeer9.org/index.php/transactions/article/view/9046 - Vehicular edge computing: architecture, resource management, security, and challenges
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