Mesoporous activated carbons of low-cost agricultural bio-wastes with high adsorption capacity: preparation and artificial neural network modeling of dye removal …

NM Mahmoodi, M Taghizadeh, A Taghizadeh - Journal of Molecular Liquids, 2018 - Elsevier
Herein, low-cost mesoporous activated carbons (ACs) with high adsorption capacity were
prepared by various agricultural bio-wastes, including Kiwi peel (KP), Cucumber peel (CP) …

Statistical optimization and modeling approach for azo dye decolorization: Combined effects of ultrasound waves and nanomaterial‐based adsorbent

J Pooralhossini, MA Zanjanchi… - Applied …, 2018 - Wiley Online Library
This study is devoted to an investigation of the effects of sonication time, adsorbent mass, pH
and sunset yellow (SY) and disulfine blue (DB) concentration on the removal of DB and SY …

[HTML][HTML] Artificial neural network approach for modeling of Ni (II) adsorption from aqueous solution by peanut shell

S Yildiz - Ecological Chemistry and Engineering S, 2018 - sciendo.com
In this study, ANN (artificial neural network) model was applied to estimate the Ni (II) removal
efficiency of peanut shell based on batch adsorption tests. The effects of initial pH, metal …

Adsorption of Safranin (Cationic) Dye from Water by Bambusa tulda: Characterization and ANN Modeling

N Laskar, U Kumar - Environmental Engineering Science, 2018 - liebertpub.com
The present research is based on the removal of safranin (cationic) dye, an emerging
contaminant from wastewater by sodium bicarbonate modified Bambusa tulda (variety of …

[HTML][HTML] Valorization of aquaculture waste in removal of cadmium from aqueous solution: optimization by kinetics and ANN analysis

G Aditya, A Hossain - Applied Water Science, 2018 - Springer
Cadmium is one of the most hazardous heavy metal concerning human health and aquatic
pollution. The removal of cadmium through biosorption is a feasible option for restoration of …

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 …

[PDF][PDF] Optimization of removal efficiency of an anionic dye onto magnetic Fe3O4-activated carbon nanocomposite using artificial neural network

M Farzan, M Miralinaghi - Journal of Environmental Health …, 2018 - jehe.abzums.ac.ir
Background and objective: Wastewaters including dyes produced by various industries have
serious destructive effects on the environment. Therefore, proposing analytical and …

Алгоритм и программный комплекс для анализа механизма гибели ароматических нитрозооксидов и низкотемпературной конверсии легких углеводородов

ЛВ Еникеева - 2018 - elibrary.ru
Цель: построение кинетических моделей сложных химических реакций методами
математического моделирования, которые реализованы в виде комплекса программ …

Application of artificial neural network for comparison and modeling of the ultrasonic and stirrer assisted removal of anionic dye using activated carbon supported with …

AM Ghaedi, P Karami, M Ghaedi… - Applied …, 2018 - Wiley Online Library
In this study, a green approach has been described for the synthesis of copper sulfide
nanoparticles loaded on activated carbon (CuS‐NP‐AC) and usability of it for the removal of …

بهینه سازی حذف رنگزای آنیونی روی نانوکامپوزیت مغناطیسی کربن فعال با استفاده از شبکه های عصبی مصنوعی-Fe3O4

فرزان مریم, میرعلینقی مهساسادات - 2018‎ - sid.ir
زمینه و هدف: پساب های حاوی رنگزاها که از صنایع مختلف تولید می شوند, اثرات و پیامدهای مخربی
بر محیط زیست میگذارند. از این رو, ارائهی مدلهای ریاضی تحلیلی و عددی که قادر به شبیه سازی …