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Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions

Tao Hai, Sani I. Abba, Ahmed M. Al‐Areeq, Fredolin Tangang, Sandeep Samantaray, Abinash Sahoo, Hugo Valadares Siqueira, Saman Maroufpoor, Vahdettin Demir, Neeraj Dhanraj Bokde, Leonardo Goliatt, Mehdi Jamei, Iman Ahmadianfar, Suraj Kumar Bhagat, Bijay Halder, Tianli Guo, Daniel S. Helman, Mumtaz Ali, Sabaa Sattar, Zainab Al-Khafaji, Shamsuddin Shahid, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬

2023Engineering Applications of Artificial Intelligence135 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceHydrometeorologyProcess (computing)Probabilistic logicManagement scienceArtificial intelligenceOperations researchMachine learningData sciencePrecipitationEconomicsPhysicsOperating systemEngineeringMeteorologyHydrology and Watershed Management StudiesHydrological Forecasting Using AIFlood Risk Assessment and Management
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions | Litcius