Modeling, optimization and understanding of adsorption process for pollutant removal via machine learning: Recent progress and future perspectives
W Zhang, W Huang, J Tan, D Huang, J Ma, B Wu - Chemosphere, 2023 - Elsevier
It is crucial to reduce the concentration of pollutants in water environment to below safe
levels. Some cost-effective pollutant removal technologies have been developed, among …
levels. Some cost-effective pollutant removal technologies have been developed, among …
Adsorption simulation of 2,4-D pesticide on novel zinc–based 2-amino-4-(1H-1,2,4-triazole-4-yl)benzoic acid coordination complexes using machine learning …
S Mansab, U Rafique - Environmental Science and Pollution Research, 2024 - Springer
The capacity of zinc-based 2-amino-4-(1H-1, 2, 4-triazole-4-yl) benzoic acid coordination
complex (Zn (NH2-TBA) 2) and modified Zn (NH-TBA) 2COMe complex for removal of 2, 4 …
complex (Zn (NH2-TBA) 2) and modified Zn (NH-TBA) 2COMe complex for removal of 2, 4 …
Modeling of multicomponent adsorption equilibria of phenol and ciprofloxacin on pristine, acid-modified and thermo-oxidatively-aged polyethylene terephthalate …
CE Enyoh, W Qingyue - Cambridge Prisms: Plastics, 2024 - cambridge.org
Multicomponent systems are representative of the most common real situations as many
industrial discharges contain a mixture of several pollutants. This study examines the …
industrial discharges contain a mixture of several pollutants. This study examines the …
Virtual chemical analysis and machine learning-based prediction of polyethylene terephthalate nanoplastics toxicity on aquatic organisms as influenced by particle …
C Ebere Enyoh, C Edbert Duru, Q Wang… - Analytical Methods in …, 2023 - amecj.com
This study focuses on the chemical analysis and prediction of Polyethylene Terephthalate
(PET) nanoplastics toxicity on aquatic organisms, considering the influence of particle size …
(PET) nanoplastics toxicity on aquatic organisms, considering the influence of particle size …
Ant Colony, Bee Colony and Elephant Herd Optimisations for Estimating Aqueous-Phase Adsorption Model Parameters
A Mudhoo, G Sharma, KH Chu… - … Engineering Systems and …, 2024 - emerald.com
Adsorption parameters (eg Langmuir constant, mass transfer coefficient and Thomas rate
constant) are involved in the design of aqueous-media adsorption treatment units. However …
constant) are involved in the design of aqueous-media adsorption treatment units. However …
Multicomponent Adsorption Capacity Forecasting Based on Support Vector Machine with Dragonfly Algorithm
Sažetak The predictability of the adsorption capacity of the multicomponent adsorption
system was modelled using Support Vector Machine (SVM). Two SVM models were built …
system was modelled using Support Vector Machine (SVM). Two SVM models were built …
Machine Learning Performance Prediction of an Ion Deposited Membrane Atmospheric Water Harvesting Unit
G Barletta - 2023 - search.proquest.com
Water scarcity is certainly one of the most relevant and worrying issues of the 21st century,
affecting billions of people and limiting their access to safe water. Atmospheric water …
affecting billions of people and limiting their access to safe water. Atmospheric water …
Intelligent Chinese Classroom Teaching Mode Based on the Internet of Things and Federated Learning-Joint Optimization of Teaching Mode
X Zhong - Available at SSRN 4538646 - papers.ssrn.com
It is necessary to facilitate teachers to participate in classroom reform and innovation,
encourage teachers to actively explore new classroom instruction models under the Internet …
encourage teachers to actively explore new classroom instruction models under the Internet …