Artificial intelligence-incorporated membrane fouling prediction for membrane-based processes in the past 20 years: A critical review
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 …
Accurately predicting or simulating membrane fouling behaviours is of great significance to …
Artificial intelligence and machine learning-based monitoring and design of biological wastewater treatment systems
Artificial intelligence (AI) and machine learning (ML) are currently used in several areas. The
applications of AI and ML based models are also reported for monitoring and design of …
applications of AI and ML based models are also reported for monitoring and design of …
Techno-economic and environmental impact assessment of hydrogen production processes using bio-waste as renewable energy resource
There is a wide spectrum of biological wastes, from which H 2 production can generate
clean energy while minimizing environmental degradation. This study aims to conduct …
clean energy while minimizing environmental degradation. This study aims to conduct …
Separation, anti-fouling, and chlorine resistance of the polyamide reverse osmosis membrane: From mechanisms to mitigation strategies
C Liu, W Wang, B Yang, K Xiao, H Zhao - Water Research, 2021 - Elsevier
Membrane technology has been widely used in the wastewater treatment and seawater
desalination. In recent years, the reverse osmosis (RO) membrane represented by …
desalination. In recent years, the reverse osmosis (RO) membrane represented by …
Machine learning modeling and analysis of biohydrogen production from wastewater by dark fermentation process
Dark fermentation process for simultaneous wastewater treatment and H 2 production is
gaining attention. This study aimed to use machine learning (ML) procedures to model and …
gaining attention. This study aimed to use machine learning (ML) procedures to model and …
Comparison of LSSVM and RSM in simulating the removal of ciprofloxacin from aqueous solutions using magnetization of functionalized multi-walled carbon …
This inquiry focuses on acquiring empirical models to predict ciprofloxacin removal using
magnetization of functionalized multi-walled carbon nanotubes (FMWCNTs-Fe 3 O 4) from …
magnetization of functionalized multi-walled carbon nanotubes (FMWCNTs-Fe 3 O 4) from …
Progress on the fabrication and application of electrospun nanofiber composites
Nanofibers are one of the most attractive materials in various applications due to their
unique properties and promising characteristics for the next generation of materials in the …
unique properties and promising characteristics for the next generation of materials in the …
Artificial neural network modeling for the prediction, estimation, and treatment of diverse wastewaters: a comprehensive review and future perspective
The application of artificial neural networks (ANNs) in the treatment of wastewater has
achieved increasing attention, as it enhances the efficiency and sustainability of wastewater …
achieved increasing attention, as it enhances the efficiency and sustainability of wastewater …
Artificial intelligence technologies in bioprocess: opportunities and challenges
Y Cheng, X Bi, Y Xu, Y Liu, J Li, G Du, X Lv, L Liu - Bioresource Technology, 2023 - Elsevier
Bioprocess control and optimization are crucial for tapping the metabolic potential of
microorganisms, and which have made great progress in the past decades. Combination of …
microorganisms, and which have made great progress in the past decades. Combination of …
Machine learning-based real-time prediction of micropollutant behaviour in forward osmosis membrane (waste) water treatment
Simulation of the micropollutant (MP) behaviour in forward osmosis (FO) membrane-based
processes may provide a better understanding and design of the process to facilitate the …
processes may provide a better understanding and design of the process to facilitate the …