[HTML][HTML] Enhanced TDS Modeling Using an AI Framework Integrating Grey Wolf Optimization with Kernel Extreme Learning Machine

M Sayadi, B Hessari, M Montaseri, A Naghibi - Water, 2024 - mdpi.com
Predictions of total dissolved solids (TDS) in water bodies including rivers and lakes are
challenging but essential for the effective management of water resources in agricultural and …

Enhancing prediction of dissolved oxygen over Santa Margarita River: Long short-term memory incorporated with multi-objective observer-teacher-learner …

S Doroudi, Y Kheyruri, A Sharafati… - Journal of Water Process …, 2025 - Elsevier
Dissolved oxygen (Do) is a pivotal parameter in appraising water quality, significantly
influencing aquatic ecosystems and aquatic. This study focuses on anticipating dissolved …

Short-term prediction of dissolved oxygen and water temperature using deep learning with dual proportional-integral-derivative error corrector in pond culture

X Zhou, Y Hao, Y Liu, L Dang, B Qiao, X Zuo - Engineering Applications of …, 2025 - Elsevier
Dissolved oxygen (DO) and water temperature (WT) are the most important water quality
indicators that directly affect the metabolism and development of aquatic products in pond …

A novel interpretable hybrid model for multi-step ahead dissolved oxygen forecasting in the Mississippi River basin

HM Ali, M Mohammadi Ghaleni, M Moghaddasi… - … Research and Risk …, 2024 - Springer
Accurate forecasting of dissolved oxygen (DO) levels is vital for river ecosystem health. A
novel methodology, MVMD-TSA-GPR, combines Multivariate Variational Mode …

Innovative approaches to surface water quality management: advancing nitrate (NO3) forecasting with hybrid CNN-LSTM and CNN-GRU techniques

S Davoudi, K Roushangar - Modeling Earth Systems and Environment, 2025 - Springer
Accurate nitrate estimation in surface water is essential for ecological and human health. To
predict nitrate levels (NO3; mg/L) in the Willamette River at Portland, Oregon, USA, three …

[HTML][HTML] A Variational Mode Decomposition–Grey Wolf Optimizer–Gated Recurrent Unit Model for Forecasting Water Quality Parameters

B Li, F Sun, Y Lian, J Xu, J Zhou - Applied Sciences, 2024 - mdpi.com
Water is a critical resource globally, covering approximately 71% of the Earth's surface.
Employing analytical models to forecast water quality parameters based on historical data is …

SE-LeNet: A Data Reconstruction Method for Dissolved Oxygen in Tropical Pacific with Deep Learning

R Cao, S Wang, S Bao, X Li, J Tan… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Dissolved Oxygen (DO) is an important indicator of water quality and sea-air interactions,
and the formation mechanism and dramatic change of Oxygen Minimum Zones (OMZs) are …