Process optimization and kinetics study for photocatalytic ciprofloxacin degradation using TiO2 nanoparticle: a comparative study of Artificial Neural Network and …

N Parmar, JK Srivastava - Journal of the Indian Chemical Society, 2022 - Elsevier
The photocatalytic degradation of ciprofloxacin was investigated by developing a predictive
mathematical model using response surface methodology and an artificial neural network …

MWCNT-Fe3O4 as a superior adsorbent for microcystins LR removal: investigation on the magnetic adsorption separation, artificial neural network modeling, and …

M Baziar, A Azari, M Karimaei, VK Gupta… - Journal of Molecular …, 2017 - Elsevier
Magnetic multi-wall carbon nanotube (MMWCNT) was prepared by simple protocol and its
structural features were characterized using SEM, TEM, and XRD analysis. The association …

New hybrid predictive modeling principles for ammonium adsorption: The combination of Response Surface Methodology with feed-forward and Elman-Recurrent …

OC Yolcu, FA Temel, A Kuleyin - Journal of Cleaner Production, 2021 - Elsevier
In the present study, hybrid prediction models were used to estimate the adsorption of
ammonium from landfill leachate by using zeolite in batch and column systems. The effects …

Statistical optimization of glyphosate adsorption by silver nanoparticles loaded activated carbon: kinetics, isotherms and thermodynamics

K Sen, NK Mondal - Environmental Nanotechnology, Monitoring & …, 2021 - Elsevier
Glyphosate (GPh-S) contaminants pose a threat to human health, life and the environment
due to the misuse of agriculture and industry. As this perspective, silver nanoparticles are …

Evaluation of adsorption characteristics of new-generation CNT-based adsorbents: characterization, modeling, mechanism, and equilibrium study

S Kocaman - Carbon Letters, 2023 - Springer
In this study, superior carbon nanotubes (CNT) were chemically modified with itaconic acid
(IA) and a polyaniline (PANI) composite was formed and used to remove methylene blue …

Modeling and optimization of lead and cobalt biosorption from water with Rafsanjan pistachio shell, using experiment based models of ANN and GP, and the grey wolf …

P Moradi, S Hayati, T Ghahrizadeh - Chemometrics and Intelligent …, 2020 - Elsevier
The biosorption of lead and cobalt from an aqueous solution is studied using Rafsanjan
pistachio shell (RPS) as a biosorbent. The amount of removed metal depends on four factors …

Machine learning analysis and prediction of N2, N2O, and O2 adsorption on activated carbon and carbon molecular sieve

H Mashhadimoslem, A Ghaemi - Environmental Science and Pollution …, 2023 - Springer
This research focuses on predicting the adsorbed amount of N2, O2, and N2O on carbon
molecular sieve and activated carbon using the artificial neural network (ANN) approach …

Artificial neural network (ANN) approach for modeling Zn (II) adsorption in batch process

S Yildiz - Korean Journal of Chemical Engineering, 2017 - Springer
Artificial neural networks (ANN) were applied to predict adsorption efficiency of peanut
shells for the removal of Zn (II) ions from aqueous solutions. Effects of initial pH, Zn (II) …

Enhanced adsorption of anionic dyes by surface fluorination of zinc oxide: A straightforward method for numerical solving of the ideal adsorbed solution theory (IAST)

A Mirzaei, Z Chen, F Haghighat… - Chemical Engineering …, 2017 - Elsevier
This paper describes an experimental and modeling analysis of methyl blue (MB) and acid
orange 7 (AO7) adsorption from aqueous solutions in single and binary systems on surface …

Prediction mapping of human leptospirosis using ANN, GWR, SVM and GLM approaches

A Mohammadinia, B Saeidian, B Pradhan… - BMC infectious …, 2019 - Springer
Background Recent reports of the National Ministry of Health and Treatment of Iran (NMHT)
show that Gilan has a higher annual incidence rate of leptospirosis than other provinces …