Water level identification with laser sensors, inertial units, and machine learning (2024)
- Authors:
- USP affiliated authors: MEDINA, MARIA MERCEDES GAMBOA - EESC ; UEYAMA, JO - ICMC ; RANIERI, CAETANO MAZZONI - ICMC ; FOLETTO, ANGELO VICTOR KRAEMER - ICMC ; GARCIA, RODRIGO DUTRA - ICMC ; MATOS, SAULO NEVES - ICMC
- Unidades: EESC; ICMC
- DOI: 10.1016/j.engappai.2023.107235
- Subjects: APRENDIZADO COMPUTACIONAL; ENCHENTES URBANAS; PREDIÇÃO
- Keywords: LiDAR; Ultrasonic sensor; Inertial measurement unit; Flood risk
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Engineering Applications of Artificial Intelligence
- ISSN: 0952-1976
- Volume/Número/Paginação/Ano: v. 127, part A, p. 1-17, 2024
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
RANIERI, Caetano Mazzoni et al. Water level identification with laser sensors, inertial units, and machine learning. Engineering Applications of Artificial Intelligence, v. 127, p. 1-17, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2023.107235. Acesso em: 28 dez. 2025. -
APA
Ranieri, C. M., Foletto, A. V. K., Garcia, R. D., Matos, S. N., Medina, M. M. G., Marcolino, L. S., & Ueyama, J. (2024). Water level identification with laser sensors, inertial units, and machine learning. Engineering Applications of Artificial Intelligence, 127, 1-17. doi:10.1016/j.engappai.2023.107235 -
NLM
Ranieri CM, Foletto AVK, Garcia RD, Matos SN, Medina MMG, Marcolino LS, Ueyama J. Water level identification with laser sensors, inertial units, and machine learning [Internet]. Engineering Applications of Artificial Intelligence. 2024 ; 127 1-17.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1016/j.engappai.2023.107235 -
Vancouver
Ranieri CM, Foletto AVK, Garcia RD, Matos SN, Medina MMG, Marcolino LS, Ueyama J. Water level identification with laser sensors, inertial units, and machine learning [Internet]. Engineering Applications of Artificial Intelligence. 2024 ; 127 1-17.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1016/j.engappai.2023.107235 - An evaluation of iron ore characteristics through machine learning and 2-D LiDAR technology
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Informações sobre o DOI: 10.1016/j.engappai.2023.107235 (Fonte: oaDOI API)
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