AI-Based Deep Learning of the Water Cycle System and Its Effects on Climate Change

AI-Based Deep Learning of the Water Cycle System and Its Effects on Climate Change

This study combines artificial intelligence (AI) with mathematical modeling to improve the forecasting of the water cycle mechanism. The proposed model simulates the development of global temperature, precipitation, and water availability, integrating key climate parameters that control these dynami...

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Bibliographic Details
Main Authors: Hasib Khan, Wafa F. Alfwzan, Rabia Latif, Jehad Alzabut, Rajermani Thinakaran
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Fractal and Fractional
Subjects:
climate change
temperature prediction
rise of water level
simulations
error analysis
regression
Online Access:https://www.mdpi.com/2504-3110/9/6/361
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