Monitoring water quality parameters using multi-source data-driven machine learning models
Systematic monitoring of water quality parameters in aquatic environments was a critical task for environmental protection and water resource management. Remote sensing technology, as an effective monitoring tool, provided real-time water quality data. Currently, most research primarily relied on re...
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| Hoofdauteurs: | , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Taylor & Francis Group
2025-12-01
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| Reeks: | Engineering Applications of Computational Fluid Mechanics |
| Onderwerpen: | |
| Online toegang: | https://www.tandfonline.com/doi/10.1080/19942060.2025.2509658 |
| Tags: |
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