Review
Open access
Sep 2026
Advances in Water Quality Forecasting Using Deep Learning: A Review of Fundamental, Models, Evaluation and Challenges
The key finding is that hybrid and attention-enhanced deep learning architectures are frequently reported to outperform single architecture baselines in the reviewed literature and offer the greatest promise for robust, interpretable, and scalable systems for predicting water quality.
W. W. Wan Ismail, Abdallah Abuishaq, Nor Azlina Bt Ab. Aziz et al.
· Environments · 0 citations