Modeling and prediction of copper removal from aqueous solutions by nZVI/rGO magnetic nanocomposites using ANN-GA and ANN-PSO

M Fan, J Hu, R Cao, K Xiong, X Wei - Scientific reports, 2017 - nature.com
Reduced graphene oxide-supported nanoscale zero-valent iron (nZVI/rGO) magnetic
nanocomposites were prepared and then applied in the Cu (II) removal from aqueous …

Assessment of effective parameters in landfill leachate treatment and optimization of the process using neural network, genetic algorithm and response surface …

N Biglarijoo, SA Mirbagheri, M Bagheri… - Process safety and …, 2017 - Elsevier
In this paper, the Fenton process was found to be an effective technique to treat leachates
when the drawbacks of this process were minimized by choosing proper catalyst …

Prediction of the antibacterial activity of garlic extract on E. coli, S. aureus and B. subtilis by determining the diameter of the inhibition zones using artificial neural …

D Atsamnia, M Hamadache, S Hanini… - LWT-Food Science and …, 2017 - Elsevier
The aim of this study was to devise a model that predicts the inhibition zone diameter using
artificial neural networks. The concentration, temperature and the exposure time of our …

Modeling of malachite green removal from aqueous solutions by nanoscale zerovalent zinc using artificial neural network

W Ruan, X Shi, J Hu, Y Hou, M Fan, R Cao, X Wei - Applied Sciences, 2017 - mdpi.com
The commercially available nanoscale zerovalent zinc (nZVZ) was used as an adsorbent for
the removal of malachite green (MG) from aqueous solutions. This material was …

[PDF][PDF] New explicit formulations for accurate estimation of aeration-related parameters in steady-state completely mixed activated sludge process

K Yetilmezsoy - Glob. Nest J, 2017 - journal.gnest.org
This paper presents new and explicit equations to estimate aeration-related parameters
such as standard oxygen requirement, daily energy consumption and total mass transfer …