Early Prediction of Urban Flood Using ML and IoT
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-5435-3_13
Reference21 articles.
1. National Disaster Management Authority. Urban Floods. NDMA, GoI. (n.d.). Retrieved Nov 21 2022, from https://ndma.gov.in/Natural-Hazards/Urban-Floods
2. Vorobevskii I, Al Janabi F, Schneebeck F, Bellera J, Krebs P (2020) Urban floods: linking the overloading of a storm water sewer system to precipitation parameters. Hydrology 7(2):35
3. Dhiman R, VishnuRadhan R, Eldho TI, Inamdar A (2019) Flood risk and adaptation in Indian coastal cities: recent scenarios. Appl Water Sci 9(1):1–6
4. Yoeseph NM, Purnomo FA, Hartono R. Lora-based IoT sensor node for Real-time flood early warning system. IOP Conf Ser: Earth Environ Sci 986(1):012060
5. Khuen CK, Zourmand A (2020) Fuzzy logic-based flood detection system using Lora Technology. In: 2020 16th IEEE International colloquium on signal processing & its applications (CSPA), 2020, pp 40–45. https://doi.org/10.1109/CSPA48992.2020.9068698
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