Forecasting Flash Floods with Optimized Adaptive Neuro-Fuzzy Inference System and Internet of Things
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-2840-6_3
Reference16 articles.
1. Vasantha Kumaran T, Murali OM, Rani Senthamarai S (2020) Chennai floods 2005, 2015: vulnerability, risk and climate change. In: Singh R, Srinagesh B, Anand S (eds) Urban health risk and resilience in Asian cities. Advances in geographical and environmental sciences. Springer, Singapore.
2. Kuiry S (2019). Impact of urban sprawl on future flooding in Chennai city, India. J Hydrol 574:486–496. https://doi.org/10.1016/j.jhydrol.2019.04.041
3. Sundaram S, Devaraj S, Yarrakula K (2021) Modeling, mapping and analysis of urban floods in India-a review on geospatial methodologies. Environ Sci Pollut Res Int 28(48):67940–67956. https://doi.org/10.1007/s11356-021-16747-5. Epub 2021 Oct 9. PMID: 34626336
4. Elsafi SH (2014) Artificial neural networks (ANNs) for flood forecasting at Dongola Station in the River Nile, Sudan. Alexandria Eng J 53(3):655–662
5. Dtissibe FY, Ari AAA, Titouna C et al (2020) Flood forecasting based on an artificial neural network scheme. Nat Hazards 104:1211–1237
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