Modelling dye removal by adsorption onto water treatment residuals using combined response surface methodology-artificial neural network approach

MR Gadekar, MM Ahammed - Journal of environmental management, 2019 - Elsevier
In this study, response surface methodology (RSM)–artificial neural network (ANN)
approach was used to optimise/model disperse dye removal by adsorption using water …

Prediction of methyl orange dye (MO) adsorption using activated carbon with an artificial neural network optimization modeling

SM Alardhi, SS Fiyadh, AD Salman, M Adelikhah - Heliyon, 2023 - cell.com
In this study, methyl orange (MO) dye removal by adsorption utilizing activated carbon made
from date seeds (DPAC) was modeled using an artificial neural network (ANN) technique …

Comprehensive review on machine learning methodologies for modeling dye removal processes in wastewater

SK Bhagat, KE Pilario, OE Babalola, T Tiyasha… - Journal of Cleaner …, 2023 - Elsevier
A wide range of dyes are being disposed in water bodies from several industrial runoff and
the quantity is rapidly increasing over the years. From an environmental safety point of view …

Optimization and modeling of methyl orange adsorption onto polyaniline nano-adsorbent through response surface methodology and differential evolution embedded …

RR Karri, M Tanzifi, MT Yaraki, JN Sahu - Journal of environmental …, 2018 - Elsevier
Presence of pigments and dyes in water bodies are growing tremendously and pose as toxic
materials and have severe health effects on human and aquatic creatures. Treatments …

Optimization and prediction of safranin-O cationic dye removal from aqueous solution by emulsion liquid membrane (ELM) using artificial neural network-particle …

A Fetimi, A Dâas, Y Benguerba, S Merouani… - Journal of …, 2021 - Elsevier
The cationic dye safranin-O was removed from an aqueous solution using the Emulsion
Liquid membrane (ELM) method. The ELM system consists of a diluent (hexane) and a …

[HTML][HTML] Modeling and optimization of turbidity removal from produced water using response surface methodology and artificial neural network

IG Ezemagu, MI Ejimofor, MC Menkiti… - South African Journal of …, 2021 - Elsevier
In this study, results of parametric effects and optimization of turbidity removal from produced
water using response surface methodology (RSM) and artificial neural network (ANN) based …

[HTML][HTML] Statistical optimization of Methylene Blue dye removal from a synthetic textile wastewater using indigenous adsorbents

MZ Alam, MN Bari, S Kawsari - Environmental and Sustainability Indicators, 2022 - Elsevier
This study was carried out to determine the most suitable indigenous adsorbents to remove
Methylene Blue (MB) dye from aqueous solution and to statistically optimize the removal …

Intelligent modeling and experimental study on methylene blue adsorption by sodium alginate-kaolin beads

N Marzban, A Moheb, S Filonenko, SH Hosseini… - International Journal of …, 2021 - Elsevier
As tighter regulations on color in discharges to water bodies are more widely implemented
worldwide, the demand for reliable inexpensive technologies for dye removal grows. In this …

Characterization and optimization of effluent dye removal using a new low cost adsorbent: Equilibrium, kinetics and thermodynamic study

EH Ezechi, SR bin Mohamed Kutty… - Process Safety and …, 2015 - Elsevier
The adsorption capacity of a neglected adsorbent, Ageratum conyzoides leaf powder
(ACLP), was investigated in this study for effluent dye removal. The adsorbent was …

Adsorption of Indigo Carmine dye onto the surface-modified adsorbent prepared from municipal waste and simulation using deep neural network

MB Ahmad, U Soomro, M Muqeet, Z Ahmed - Journal of Hazardous …, 2021 - Elsevier
A new adsorbent was prepared from municipal wastes (a mixture of Corn Stover, Paper
Waste, and Yard Waste) by cationization with 3 ̶ Chloro ̶ 2 ̶ Hydroxypropyl …