The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management

• Published in: Sustainability Vol. 15; no. 13; p. 10543
• Main Authors: Kumar, Vijendra, Azamathulla, Hazi Md, Sharma, Kul Vaibhav, Mehta, Darshan J., Maharaj, Kiran Tota
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2023
• Subjects: Algorithms; Artificial intelligence; Canals; Computational linguistics; Dams; Data mining; Deep learning; Flood damage; Flood forecasting; Floods; Forecasts and trends; Germany; India; Infrastructure; Land use; Language processing; Machine learning; Management decisions; Natural disasters; Natural language interfaces; Natural language processing; Neural networks; Rain; Remote sensing; Storm damage; Stream flow; Sustainability; Velocity; Germany; India

Floods are a devastating natural calamity that may seriously harm both infrastructure and people. Accurate flood forecasts and control are essential to lessen these effects and safeguard populations. By utilizing its capacity to handle massive amounts of data and provide accurate forecasts, deep lea...