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 …

A review on membrane fouling prediction using artificial neural networks (ANNs)

WH Abuwatfa, N AlSawaftah, N Darwish, WG Pitt… - Membranes, 2023 - mdpi.com
Membrane fouling is a major hurdle to effective pressure-driven membrane processes, such
as microfiltration (MF), ultrafiltration (UF), nanofiltration (NF), and reverse osmosis (RO) …

[HTML][HTML] Multi-scale design of MOF-based membrane separation for CO2/CH4 mixture via integration of molecular simulation, machine learning and process modeling …

X Cheng, Y Liao, Z Lei, J Li, X Fan, X Xiao - Journal of Membrane Science, 2023 - Elsevier
Metal-organic framework (MOF) membranes have demonstrated high efficiency for CO 2
capture due to their wide range of pore sizes, high surface area, high porosity, and open …

An algorithm for selecting a machine learning method for predicting nitrous oxide emissions in municipal wastewater treatment plants

B Szeląg, E Zaborowska, J Mąkinia - Journal of Water Process Engineering, 2023 - Elsevier
This study presents an advanced algorithm for selecting machine learning (ML) models for
nitrous oxide (N 2 O) emission prediction in wastewater treatment plants (WWTPs) …

Machine learning implementation in membrane bioreactor systems: progress, challenges, and future perspectives: a review

Z Frontistis, G Lykogiannis, A Sarmpanis - Environments, 2023 - mdpi.com
This study offers a review of machine learning (ML) applications in membrane bioreactor
(MBR) systems, an emerging technology in advanced wastewater treatment. The review …

Critical review on advances and perspectives of ultrasound assisted membrane technologies for water purification

A Wang, C Chen, C Liu, J Ma, T Lin, M Ding… - Chemical Engineering …, 2024 - Elsevier
In the previous decades, membrane-based separation technologies have found numerous
applications in various industries. However, efficient membrane system operation …

Advances in the removal of Cr (III) from spent industrial effluents—A review

K Staszak, I Kruszelnicka, D Ginter-Kramarczyk… - Materials, 2022 - mdpi.com
The review presents advances in the removal of Cr (III) from the industrial effluents
published in the last ten years. Although Cr (III) has low solubility and is less dangerous for …

Using artificial intelligence-based algorithms to identify critical fouling factors and predict fouling behavior in anaerobic membrane bioreactors

C Niu, B Li, Z Wang - Journal of Membrane Science, 2023 - Elsevier
Membrane fouling is one of the major obstacles that hinder the widespread applications of
anerobic membrane bioreactors (AnMBRs) for wastewater treatment. Due to the intrinsic …

Predictive modeling based on artificial neural networks for membrane fouling in a large pilot-scale anaerobic membrane bioreactor for treating real municipal …

T Wang, YY Li - Science of The Total Environment, 2024 - Elsevier
Membrane fouling is the primary obstacle to applying anaerobic membrane bioreactors
(AnMBRs) in municipal wastewater treatment. This issue holds critical significance as …

Solid waste management techniques powered by in-silico approaches with a special focus on municipal solid waste management: Research trends and challenges

S Vyas, K Dhakar, S Varjani, RR Singhania… - Science of The Total …, 2023 - Elsevier
Many technical, climatic, environmental, biological, financial, educational, and regulatory
factors are typically involved in solid waste management (SWM). Artificial Intelligence (AI) …