Prediction of methane levels in underground coal mines using artificial neural networks

S Mathatho, PA Owolawi, C Tu - 2019 International Conference …, 2019 - ieeexplore.ieee.org
Underground coal mines are known for having extremely volatile environments that are gas
prone, especially to methane that can unexpectedly erupt or spike. In this paper, a methane …

Simultaneous multidye biosorption by chemically modified Sargassum glaucescens: Doehlert optimization and kinetic, equilibrium, and thermodynamic study in …

R Tabaraki, E Heidarizadi - Separation Science and Technology, 2017 - Taylor & Francis
Multidye biosorption of Sunset yellow (SY), Eosin yellow (EY) and Indigo carmine (IC) dyes
onto chemically modified biomass of brown alga Sargassum glaucescens was studied …

Multivariate optimization of Pb (II) removal for clinoptilolite-rich tuffs using genetic programming: a computational approach

OM Tzuc, A Bassam, M Abatal, Y El Hamzaoui… - Chemometrics and …, 2018 - Elsevier
In this study, a genetic programming (GP) model was developed to predict and optimize the
Pb (II) removal capacity for natural, sodium, and acid-modified clinoptilolite-rich tuffs …

Study of different morphology of zinc hydroxide salt as adsorbent of azo dyes

S Jaerger, DA de Ramos Nogueira… - …, 2021 - Wiley Online Library
In this study, zinc layered hydroxide salts (Zn‐LHS) intercalated with dodecyl sulfate (DDS)
anion in nanocone morphology (LHS‐NC) and conventional stone‐like co‐precipitation LHS …

Sol–gel synthesis of p-type zinc oxide using aluminium nitrate and ammonia

IYY Bu - Journal of Industrial and Engineering Chemistry, 2015 - Elsevier
Sol–gel production of p-type ZnO thin films were studied by co-doping method using a
combination of aluminium nitrate and ammonia at different concentrations. The resultant …

Automation in colouration technology to predict dyeing parameters for desired shade and fastness

A Chakraborty, PD Kaur… - Indian Journal of Fibre & …, 2019 - op.niscpr.res.in
In this study, dyeing parameters, such as dye conc., sodium sulphide conc., salt conc., and
time, have been statisticallyframed through full-factorial design software to generate sets of …

Machine learning in materials modeling and design

KN Keya, A Arshad, SA Tolba, W Nie, A Alesadi… - … of Multiscale Modeling …, 2023 - Elsevier
Abstract Machine learning (ML) is an evolving scientific field of advanced statistical models
and algorithms that are developed to imitate human intelligence by learning from data. In …

Sugar beet lignocellulose waste as biosorbents: surface functionality, equilibrium studies and artificial neural network modeling

D Kukić, M Šćiban, M Brdar, V Vasić, A Takači… - International Journal of …, 2023 - Springer
To meet sustainable development criteria, this paper deals with the possible utilization of
solid waste materials generated from single and multiple successive processing of sugar …

Modelling of adsorption of anionic azo dye using Strychnos potatorum Linn seeds (SPS) from aqueous solution with artificial neural network (ANN)

WW Wee, MY Siau, SK Arumugasamy… - Environmental …, 2021 - Springer
Synthetic dyes used in the textile and paper industries pose a major threat to the
environment. In the present research work, the adsorption efficiency of the natural adsorbent …

[PDF][PDF] Modeling of Competitive Ultrasonic Assisted Removal of The Crystal Violet and Aura Mineo using Mwcnts Functionalized by N-(3-Nitrobenzylidene)-Nˊ …

F Raoufi, H AgHAEE, M Monajjemi - Oriental Journal of Chemistry, 2016 - researchgate.net
In this study, adsorbent was synthesized by covalently anchoring N-(3-nitro-benzylidene)-N-
trimethoxysilylpropyl-ethane-1, 2-diamine onto multi-walled carbon nanotubes (NBATSPED …