Leveraging physics-informed neural networks for efficient modelling of coastal ecosystems dynamics: A case study of Sundarbans mangrove forest
Modelling the hydro-morphodynamics of mangrove environments poses significant challenges due to their complex geometry, dynamic vegetation-water interactions, and limited in situ measurements. Traditional numerical models struggle in such settings due to high computational cost, the need for extensi...
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| Main Authors: | Majdi Fanous, Jonathan M. Eden, Juntao Yang, Simon See, Vasile Palade, Alireza Daneshkhah |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
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| Series: | Ecological Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954125003115 |
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