Microalgae-based wastewater treatment–microalgae-bacteria consortia, multi-omics approaches and algal stress response

D Nagarajan, DJ Lee, S Varjani, SS Lam… - Science of The Total …, 2022 - Elsevier
Sustainable environmental management is one of the important aspects of sustainable
development goals. Increasing amounts of wastewaters (WW) from exponential economic …

A review of computational modeling in wastewater treatment processes

MS Duarte, G Martins, P Oliveira, B Fernandes… - ACS Es&t …, 2023 - ACS Publications
Wastewater treatment companies are facing several challenges related to the optimization of
energy efficiency, meeting more restricted water quality standards, and resource recovery …

Bibliometric analysis of artificial intelligence in wastewater treatment: Current status, research progress, and future prospects

X Li, J Su, H Wang, G Boczkaj, J Mahlknecht… - Journal of …, 2024 - Elsevier
Wastewater treatment is an important topic for improving water quality and environmental
protection, and artificial intelligence has become a powerful tool for wastewater treatment …

Maximizing energy efficiency in wastewater treatment plants: A data-driven approach for waste heat recovery and an economic analysis using Organic Rankine Cycle …

S Al-Dahidi, M Alrbai, L Al-Ghussain, A Alahmer - Applied Energy, 2024 - Elsevier
Maximizing energy efficiency through waste heat recovery (WHR) processes is crucial for
sustainable and eco-friendly operations across multiple industries, notably in wastewater …

[HTML][HTML] Artificial intelligence in wastewater treatment: Research trends and future perspectives through bibliometric analysis

AO Baarimah, MA Bazel, WS Alaloul… - Case Studies in …, 2024 - Elsevier
The world faces growing water scarcity and the need for efficient wastewater treatment. The
application of advanced artificial intelligence (AI) techniques holds great promise in …

Interpretable prediction, classification and regulation of water quality: A case study of Poyang Lake, China

Z Yao, Z Wang, J Huang, N Xu, X Cui, T Wu - Science of the Total …, 2024 - Elsevier
Effective identification and regulation of water quality impact factors is essential for water
resource management and environmental protection. However, the complex coupling of …

DNN model development of biogas production from an anaerobic wastewater treatment plant using Bayesian hyperparameter optimization

H Sadoune, R Rihani, FS Marra - Chemical Engineering Journal, 2023 - Elsevier
Deep neural networks have been regarded as accurate models to predict complex
fermentation processes due to their capacity to learn from a high number of data sets via …

A novel deep learning ensemble model based on two-stage feature selection and intelligent optimization for water quality prediction

W Liu, T Liu, Z Liu, H Luo, H Pei - Environmental Research, 2023 - Elsevier
Accurate prediction of effluent total nitrogen (E-TN) can assist in feed-forward control of
wastewater treatment plants (WWTPs) to ensure effluent compliance with standards while …

[HTML][HTML] Revolutionizing wastewater treatment toward circular economy and carbon neutrality goals: Pioneering sustainable and efficient solutions for automation and …

S Cairone, SW Hasan, KH Choo, DF Lekkas… - Journal of Water …, 2024 - Elsevier
Wastewater treatment plants (WWTPs) play a crucial role in ensuring a safe environment by
effectively removing contaminants and minimizing pollutant discharges. Compliance with …

Unlocking the potential of wastewater treatment: Machine learning based energy consumption prediction

Y Alali, F Harrou, Y Sun - Water, 2023 - mdpi.com
Wastewater treatment plants (WWTPs) are energy-intensive facilities that fulfill stringent
effluent quality norms. Energy consumption prediction in WWTPs is crucial for cost savings …