A deep learning interpretable model for river dissolved oxygen multi-step and interval prediction based on multi-source data fusion

Z Wang, Q Wang, Z Liu, T Wu - Journal of Hydrology, 2024 - Elsevier
Water bodies experiencing excessively low dissolved oxygen (DO) concentrations cannot
sustain aquatic life and disrupt ecosystem balance, whereas overly high concentrations …

[HTML][HTML] Energy consumption prediction in water treatment plants using deep learning with data augmentation

F Harrou, A Dairi, A Dorbane, Y Sun - Results in Engineering, 2023 - Elsevier
Wastewater treatment plants (WWTPs) are energy-intensive facilities that play a critical role
in meeting stringent effluent quality regulations. Accurate prediction of energy consumption …

Predicting dissolved oxygen level using Young's double-slit experiment optimizer-based weighting model

Y Dong, Y Sun, Z Liu, Z Du, J Wang - Journal of Environmental …, 2024 - Elsevier
Accurate prediction of the dissolved oxygen level (DOL) is important for enhancing
environmental conditions and facilitating water resource management. However, the …

Predicting water quality through daily concentration of dissolved oxygen using improved artificial intelligence

J Yang - Scientific Reports, 2023 - nature.com
As an important hydrological parameter, dissolved oxygen (DO) concentration is a well-
accepted indicator of water quality. This study deals with introducing and evaluating four …

EDMNet: unveiling the power of machine learning in regression modeling of powder mixed-EDM

MA Ilani, YM Banad - The International Journal of Advanced …, 2024 - Springer
Electrical discharge machining (EDM) is a complex process renowned for shaping intricate
geometries in hard materials, though optimizing its performance is costly due to extensive …

[HTML][HTML] Rapid real-time prediction techniques for ammonia and nitrite in high-density shrimp farming in recirculating aquaculture systems

F Chen, T Qiu, J Xu, J Zhang, Y Du, Y Duan, Y Zeng… - Fishes, 2024 - mdpi.com
Water quality early warning is a key aspect in industrial recirculating aquaculture systems for
high-density shrimp farming. The concentrations of ammonia nitrogen and nitrite in the water …

Multi-step ahead dissolved oxygen concentration prediction based on knowledge guided ensemble learning and explainable artificial intelligence

J Wu, Z Wang, J Dong, Z Yao, X Chen, H Fan - Journal of Hydrology, 2024 - Elsevier
Accurate water quality prediction is crucial for effective environmental management and
decision-making. However, previous studies have solely relied on historical data to simulate …

Explainable machine learning models for estimating daily dissolved oxygen concentration of the Tualatin River

S Li, SN Qasem, SS Band, R Ameri, HT Pai… - Engineering …, 2024 - Taylor & Francis
Monitoring the quality of river water is of fundamental importance and needs to be taken into
consideration when it comes to the research into the hydrological field. In this context, the …

Enhanced predictive modeling of dissolved oxygen concentrations in riverine systems using novel hybrid temporal pattern attention deep neural networks

S Shadkani, Y Hemmatzadeh, A Saber… - Environmental …, 2024 - Elsevier
Monitoring water quality and river ecosystems is vital for maintaining public health and
environmental sustainability. Over the past decade, data-driven methods have been …

Luffa–Ni/Al layered double hydroxide bio-nanocomposite for efficient ibuprofen removal from aqueous solution: Kinetic, equilibrium, thermodynamic studies and GEP …

S Tavassoli, A Mollahosseini, S Damiri, M Samadi - Heliyon, 2025 - cell.com
Luffa is a robust, renewable biomaterial known for its low mass, high specific strength, and
non-toxicity, making it ideal for composite development. This study modified luffa to create …