Applications of artificial intelligence in water treatment for optimization and automation of adsorption processes: Recent advances and prospects

G Alam, I Ihsanullah, M Naushad… - Chemical Engineering …, 2022 - Elsevier
Artificial intelligence (AI) has emerged as a powerful tool to resolve real-world problems and
has gained tremendous attention due to its applications in various fields. In recent years, AI …

Artificial intelligence-incorporated membrane fouling prediction for membrane-based processes in the past 20 years: A critical review

C Niu, X Li, R Dai, Z Wang - Water Research, 2022 - Elsevier
Membrane fouling is one of major obstacles in the application of membrane technologies.
Accurately predicting or simulating membrane fouling behaviours is of great significance to …

Water quality classification using machine learning algorithms

N Nasir, A Kansal, O Alshaltone, F Barneih… - Journal of Water …, 2022 - Elsevier
Monitoring water quality is essential for protecting human health and the environment and
controlling water quality. Artificial Intelligence (AI) offers significant opportunities to help …

Emerging and advanced membrane technology for wastewater treatment: A review

SP Bera, M Godhaniya, C Kothari - Journal of Basic …, 2022 - Wiley Online Library
Over the years, conventional wastewater treatment processes have achieved to some extent
in treating effluents for discharge pints. Development in wastewater treatment processes is …

A review of artificial intelligence in water purification and wastewater treatment: Recent advancements

S Safeer, RP Pandey, B Rehman, T Safdar… - Journal of Water …, 2022 - Elsevier
Artificial intelligence (AI) is an emerging powerful novel technology that can model real-time
problems involving numerous intricacies. The modeling capabilities of AI techniques are …

A review of membrane fouling by proteins in ultrafiltration and microfiltration

HJ Tanudjaja, A Anantharaman, AQQ Ng, Y Ma… - Journal of Water …, 2022 - Elsevier
Fouling of ultrafiltration (UF) and microfiltration (MF) membranes by proteins is a major
challenge in the bioprocessing and dairy industries, as well as in surface and wastewater …

The state of art on the prediction of efficiency and modeling of the processes of pollutants removal based on machine learning

N Taoufik, W Boumya, M Achak, H Chennouk… - Science of the Total …, 2022 - Elsevier
During the last few years, important advances have been made in big data exploration,
complex pattern recognition and prediction of complex variables. Machine learning (ML) …

Fouling control and modeling in reverse osmosis for seawater desalination: A review

N Najid, JN Hakizimana, S Kouzbour, B Gourich… - Computers & Chemical …, 2022 - Elsevier
The development of the antifouling Reverse Osmosis (RO) membranes requires modeling
and simulation as an essential tool alongside the progress of RO membrane technologies …

A review on membrane biofouling: Prediction, characterization, and mitigation

N AlSawaftah, W Abuwatfa, N Darwish, GA Husseini - Membranes, 2022 - mdpi.com
Water scarcity is an increasing problem on every continent, which instigated the search for
novel ways to provide clean water suitable for human use; one such way is desalination …

Investigation of the factors affecting reverse osmosis membrane performance using machine-learning techniques

Ç Odabaşı, P Dologlu, F Gülmez, G Kuşoğlu… - Computers & Chemical …, 2022 - Elsevier
Several factors affecting the RO membrane performance can be investigated mainly in two
groups; feed characteristics and operational parameters. In this work, the effect of feed …