Revolutionizing the future of hydrological science: Impact of machine learning and deep learning amidst emerging explainable AI and transfer learning

Revolutionizing the future of hydrological science: Impact of machine learning and deep learning amidst emerging explainable AI and transfer learning

Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are revolutionizing hydrology, driving significant advancements in water resource management, modeling, and prediction. This review synthesizes cutting-edge developments, methodologies, and applications of AI-ML-DL across ke...

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Bibliographic Details
Main Authors: Rajib Maity, Aman Srivastava, Subharthi Sarkar, Mohd Imran Khan
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Applied Computing and Geosciences
Subjects:
Climate change
Water resources management
Engineering hydrology
Hydrological modeling
Real-time forecasting
Disaster risk reduction
Online Access:http://www.sciencedirect.com/science/article/pii/S2590197424000533
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