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 ** 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 …