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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| Main Authors: | Rajib Maity, Aman Srivastava, Subharthi Sarkar, Mohd Imran Khan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | Applied Computing and Geosciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590197424000533 |
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