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Machine learning for the advancement of membrane science and technology: A critical review
Abstract Machine learning (ML) has been rapidly transforming the landscape of natural
sciences and has the potential to revolutionize the process of data analysis and hypothesis …
sciences and has the potential to revolutionize the process of data analysis and hypothesis …
[HTML][HTML] Bioreactors: applications and Innovations for a sustainable and healthy future—a critical review
Biotechnological processes are essential for develo** economies that aim to stand out in
future markets. The use of bioreactors is one of the most important unit operations of …
future markets. The use of bioreactors is one of the most important unit operations of …
Cefixime removal via WO3/Co-ZIF nanocomposite using machine learning methods
In this research, an upgraded and environmentally friendly process involving WO3/Co-ZIF
nanocomposite was used for the removal of Cefixime from the aqueous solutions. Intelligent …
nanocomposite was used for the removal of Cefixime from the aqueous solutions. Intelligent …
Unveiling the role of artificial intelligence in tetracycline antibiotics removal using UV/sulfite/phenol advanced reduction process
UV/sulfite-based advanced reduction processes (ARP) have attracted increasing attention
due to their high capability for removing a wide range of pollutants. Therefore, develo** …
due to their high capability for removing a wide range of pollutants. Therefore, develo** …
Analysis and optimization of abrasive waterjet dressing parameters for surface texturing of diamond grinding wheels
With the development of ultra-precision machining technology, the grinding performance of
diamond grinding wheels has put forward higher requirements. In this study, a new method …
diamond grinding wheels has put forward higher requirements. In this study, a new method …
Optimization-driven modelling of hydrochar derived from fruit waste for adsorption performance evaluation using response surface methodology and machine learning
This study aims to explore the potential of integrating Design of Expert (DOE) with Machine
Learning (ML) to optimize and predict the adsorption process of solid adsorbent The …
Learning (ML) to optimize and predict the adsorption process of solid adsorbent The …
[HTML][HTML] Selective acid gas separation from diatomic nonmetal gas via ZIF-8 membrane: Taguchi analysis and neural network modeling
ZIF-8 membranes are an option for separating acid gas from diatomic nonmetal gas,
proposing an alternative technology for combating increasing greenhouse gas emissions …
proposing an alternative technology for combating increasing greenhouse gas emissions …
Optimization of operational parameters using artificial neural network and support vector machine for bio-oil extracted from rice husk
Bio-oil production from rice husk, an abundant agricultural residue, has gained significant
attention as a sustainable and renewable energy source. The current research aims to …
attention as a sustainable and renewable energy source. The current research aims to …
Nanofiltration PVP membrane with gradient cross-linking for efficient polycyclic aromatic hydrocarbons removal
Polycyclic aromatic hydrocarbons (PAHs) are persistent organic pollutants that may
contaminate various water sources and pose serious dangers to human health and the …
contaminate various water sources and pose serious dangers to human health and the …
Replace Platinum for Hydrogen Evolution Reaction in the Cathode of Proton Exchange Membrane Water Electrolyzers
The growing global energy demand and environmental concerns like greenhouse gas
emissions call for clean energy solutions. Hydrogen energy, with high caloric value and low …
emissions call for clean energy solutions. Hydrogen energy, with high caloric value and low …