Long-term AI prediction of ammonium levels in rivers using transformer and ensemble models
This study provides a cutting-edge machine learning approach to forecast ammonium (NH4+) levels in River Lee London. Ammonium concentrations were predicted over several time intervals using a complete dataset that includes temperature, turbidity, chlorophyll, dissolved oxygen, conductivity, and pH....
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Cleaner Water |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2950263224000498 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|