Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research …
River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …
sustainability of water resources. The literature has shown great potential for nature-inspired …
A review on applications of artificial intelligence in wastewater treatment
In recent years, artificial intelligence (AI), as a rapidly developing and powerful tool to solve
practical problems, has attracted much attention and has been widely used in various areas …
practical problems, has attracted much attention and has been widely used in various areas …
Selective adsorption of organic dyes from aqueous environment using fermented maize extract-enhanced graphene oxide-durian shell derived activated carbon …
A secure aquatic environment is essential for both aquatic and terrestrial life. However,
rising populations and the industrial revolution have had a significant impact on the quality …
rising populations and the industrial revolution have had a significant impact on the quality …
[HTML][HTML] Decolourization of bromocresol green dye solution by acid functionalized rice husk: artificial intelligence modeling, GA optimization, and adsorption studies
Novel application and comparison of intelligent models such as adaptive neuro-fuzzy
inference systems (ANFIS), artificial neural network (ANN), and response surface …
inference systems (ANFIS), artificial neural network (ANN), and response surface …
Ensemble hybrid machine learning to simulate dye/divalent salt fractionation using a loose nanofiltration membrane
The escalating quantity of wastewater from multiple sources has raised concerns about both
water reuse and environmental preservation. Therefore, there is a pressing need for …
water reuse and environmental preservation. Therefore, there is a pressing need for …
Monitoring the Industrial waste polluted stream-Integrated analytics and machine learning for water quality index assessment
Abstract The Water Quality Index (WQI) is a primary metric used to evaluate and categorize
surface water quality which plays a crucial role in the management of fresh water resources …
surface water quality which plays a crucial role in the management of fresh water resources …
Computational Chemistry as Applied in Environmental Research: Opportunities and Challenges
C Sandoval-Pauker, S Yin, A Castillo… - ACS ES&T …, 2023 - ACS Publications
The constant development of computer systems and infrastructure has allowed
computational chemistry to become an important component of environmental chemistry …
computational chemistry to become an important component of environmental chemistry …
Adsorption of Cr (VI) ions onto fluorine-free niobium carbide (MXene) and machine learning prediction with high precision
R Ishtiaq, N Zahra, S Iftikhar, F Rubab, K Sultan… - Journal of …, 2024 - Elsevier
Due to the unique surface microstructure, abundant active sites, and rich functional groups,
two-dimensional MXene is increasingly gaining attention in the field of environmental …
two-dimensional MXene is increasingly gaining attention in the field of environmental …
Green conversion of waste PET into magnetic Ni0· 4Fe2· 6O4/(Fe, Ni)@ carbon nanostructure for adsorption and separation of dyes from aqueous media
S Wei, AR Kamali - Chemosphere, 2023 - Elsevier
A nanostructured core-shell composite (Ni 0· 4 Fe 2· 6 O 4/(Fe, Ni)@ carbon, NFC)
comprising magnetic nano-cores encapsulated with graphitic shells (≈ 80 wt%) is prepared …
comprising magnetic nano-cores encapsulated with graphitic shells (≈ 80 wt%) is prepared …
An optimized backpropagation neural network models for the prediction of nanomaterials concentration for purification industrial wastewater
AE Hassanien, LM Abouelmagd, AS Mahmoud… - … Applications of Artificial …, 2023 - Elsevier
In this paper, an optimized backpropagation neural network (BPNN) prediction models have
been proposed to estimate the concentration of titanium dioxide (TiO 2) nanomaterials …
been proposed to estimate the concentration of titanium dioxide (TiO 2) nanomaterials …