Role of artificial intelligence (AI) in fish growth and health status monitoring: A review on sustainable aquaculture
Aquaculture plays a crucial role in meeting the growing global demand for seafood, but it
faces challenges in terms of fish growth and health monitoring. The advancement of artificial …
faces challenges in terms of fish growth and health monitoring. The advancement of artificial …
Applications of machine learning to water resources management: A review of present status and future opportunities
Water is the most valuable natural resource on earth that plays a critical role in the socio-
economic development of humans worldwide. Water is used for various purposes, including …
economic development of humans worldwide. Water is used for various purposes, including …
[HTML][HTML] Machine learning for membrane design in energy production, gas separation, and water treatment: a review
Membrane filtration is a major process used in the energy, gas separation, and water
treatment sectors, yet the efficiency of current membranes is limited. Here, we review the use …
treatment sectors, yet the efficiency of current membranes is limited. Here, we review the use …
Research on the factors influencing nanofiltration membrane fouling and the prediction of membrane fouling
W Zheng, Y Chen, X Xu, X Peng, Y Niu, P Xu… - Journal of Water Process …, 2024 - Elsevier
The issue of membrane fouling poses a significant challenge to the extensive adoption of
nanofiltration membrane technology in public water supply systems. The occurrence of …
nanofiltration membrane technology in public water supply systems. The occurrence of …
Membrane technology for energy saving: principles, techniques, applications, challenges, and prospects
Membrane technology emerges as a transformative solution for global challenges, excelling
in water treatment, gas purification, and waste recycling. This comprehensive review …
in water treatment, gas purification, and waste recycling. This comprehensive review …
Machine learning framework for modeling flocculation kinetics using non-intrusive dynamic image analysis
The implementation of a machine learning (ML) model to improve both the effectiveness and
sustainability of the water treatment system is a significant challenge in the water sector, with …
sustainability of the water treatment system is a significant challenge in the water sector, with …
Membrane science meets machine learning: future and potential use in assisting membrane material design and fabrication
The evolving membrane technology integrated with machine learning (ML) algorithms can
significantly advance the novel membrane material design and fabrication. Although several …
significantly advance the novel membrane material design and fabrication. Although several …
[HTML][HTML] Hybrid modeling of a biorefinery separation process to monitor short-term and long-term membrane fouling
Membrane filtration is commonly used in biorefineries to separate cells from fermentation
broths containing the desired products. However, membrane fouling can cause short-term …
broths containing the desired products. However, membrane fouling can cause short-term …
Nanoparticles formed in Fe (II)/KMnO4-catalyzed ozonation to alleviate ceramic membrane fouling and improve membrane rejection performance of humic acid
Abstract Fe (II)/KMnO 4 has been identified as a moderate oxidation system capable of
producing ferromanganese nanoparticles (NPs). However, previous studies on the catalytic …
producing ferromanganese nanoparticles (NPs). However, previous studies on the catalytic …
Machine learning for layer-by-layer nanofiltration membrane performance prediction and polymer candidate exploration
In this study, machine learning-based models were established for layer-by-layer (LBL)
nanofiltration (NF) membrane performance prediction and polymer candidate exploration …
nanofiltration (NF) membrane performance prediction and polymer candidate exploration …