Stochastic Modeling for Estimating Real-Time Inundation Depths at Roadside IoT Sensors Using the ANN-Derived Model

This paper aims to develop a stochastic model (SM_EID_IOT) for estimating the inundation depths and associated 95% confidence intervals at the specific locations of the roadside water-level gauges, i.e., Internet of Things (IoT) sensors under the observed water levels/rainfalls and the precipitation...

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Autores principales: Shiang-Jen Wu, Chih-Tsu Hsu, Che-Hao Chang
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
ANN
Acceso en línea:https://doaj.org/article/46e8c0e8c657495388a3a28f87a9f9b2
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