Applications of artificial intelligence in water treatment for the optimization and automation of the adsorption process: Recent advances and prospects

Column breakthrough studies for the removal and recovery of phosphate by lime-iron sludge: Modeling and optimization using artificial neural network and adaptive Neuro-fuzzy inference system

(2020) Beverly S. Chittoo et al.   CHINESE JOURNAL OF CHEMICAL ENGINEERING

Equilibrium, kinetics and artificial intelligence characteristic analysis for Zn (II) ion adsorption on rice husks digested with nitric acid

(2020) Sami Ullah et al.   Paddy and Water Environment

MXenes (two-dimensional metal carbides) as emerging nanomaterials for water purification: Progress, challenges and prospects

(2020) Ihsanullah Ihsanullah   CHEMICAL ENGINEERING JOURNAL

Influence of chitosan and magnetic iron nanoparticles on chromium adsorption behavior of natural clay: Adaptive neuro-fuzzy inference modeling

(2020) Rauf Foroutan et al.   INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES

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 optimizer

(2020) Peyman Moradi et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) adsorption from aqueous solution using biochar derived from rambutan (Nephelium lappaceum) peel

(2020) Yong Jie Wong et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Machine learning approach for prediction of Paracetamol adsorption efficiency on chemically modified Orange Peel

(2020) Inioluwa Christianah Afolabi et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

AI-based modeling and data-driven evaluation for smart manufacturing processes

(2020) Mohammadhossein Ghahramani et al.   IEEE-CAA Journal of Automatica Sinica

The use of artificial neural network (ANN) for modeling adsorption of sunset yellow onto neodymium modified ordered mesoporous carbon

(2020) Zaki Uddin Ahmad et al.   CHEMOSPHERE

Decontamination of methylene Blue from simulated wastewater by the mesoporous rGO/Fe/Co nanohybrids: Artificial intelligence modeling and optimization

(2020) Jimei Qi et al.   Materials Today Communications

Sustainable wastewater treatment by biochar/layered double hydroxide composites: Progress, challenges, and outlook

(2020) Mukarram Zubair et al.   BIORESOURCE TECHNOLOGY

Boron nitride-based materials for water purification: Progress and outlook

(2020) Ihsanullah Ihsanullah   CHEMOSPHERE

Modelling of the adsorption of Pb, Cu and Ni ions from single and multi-component aqueous solutions by date seed derived biochar: Comparison of six machine learning approaches

(2020) Ali El Hanandeh et al.   ENVIRONMENTAL RESEARCH

Optimal artificial neural network design for simultaneous modeling of multicomponent adsorption

(2020) Paola S. Pauletto et al.   JOURNAL OF MOLECULAR LIQUIDS

Multivariate data-based optimization of membrane adsorption process for wastewater treatment: Multi-layer perceptron adaptive neural network versus adaptive neural fuzzy inference system

(2020) Seyyed Ahmad Naghibi et al.   CHEMOSPHERE

Forecasting the multicomponent adsorption of nimesulide and paracetamol through artificial neural network

(2020) P.S. Pauletto et al.   CHEMICAL ENGINEERING JOURNAL

Adaptive neuro-fuzzy inference system (ANIFS) and artificial neural network (ANN) applied for indium (III) adsorption on carbonaceous materials

(2019) Dison S. P. Franco et al.   CHEMICAL ENGINEERING COMMUNICATIONS

Advanced control of membrane fouling in filtration systems using artificial intelligence and machine learning techniques: A critical review

(2019) Majid Bagheri et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Artificial neural network and multiple linear regression for modeling sorption of Pb2+ ions from aqueous solutions onto modified walnut shell

(2019) Motahare Ashrafi et al.   SEPARATION SCIENCE AND TECHNOLOGY

Isotherm and kinetic studies for heptachlor removal from aqueous solution using Fe/Cu nanoparticles, artificial intelligence, and regression analysis

(2019) Ahmed S. Mahmoud et al.   SEPARATION SCIENCE AND TECHNOLOGY

Bees metaheuristic algorithm with the aid of artificial neural networks for optimization of acid red 27 dye adsorption onto novel polypyrrole/SrFe12O19/graphene oxide nanocomposite

(2019) Sodabeh Ebrahimpoor et al.   POLYMER BULLETIN

Modeling of Trivalent Chromium Sorption onto Commercial Resins by Artificial Neural Network

(2019) Abdullah Erdal Tümer et al.   APPLIED ARTIFICIAL INTELLIGENCE

The adsorptive removal of As (III) using biomass of arsenic resistant Bacillus thuringiensis strain WS3: Characteristics and modelling studies

(2019) Wahid Ali Hamood Altowayti et al.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY

Modeling and optimization of chromium adsorption onto clay using response surface methodology, artificial neural network, and equilibrium isotherm models

(2019) Fatemeh Notghi Oskui et al.   Environmental Progress & Sustainable Energy

Forecasting COD load in municipal sewage based on ARMA and VAR algorithms

(2019) Yi Man et al.   RESOURCES CONSERVATION AND RECYCLING

Human domination of the global water cycle absent from depictions and perceptions

(2019) Benjamin W. Abbott et al.   Nature Geoscience

Simulation and optimization of nanomaterials application for heavy metal removal from aqueous solutions

(2019) Amir Hossein Hamidian et al.   Inorganic and Nano-Metal Chemistry

Predictive model based on Adaptive Neuro-Fuzzy Inference System for estimation of Cephalexin adsorption on the Octenyl Succinic Anhydride starch

(2019) Mounir Bouhedda et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Long short-term memory-based deep recurrent neural networks for target tracking

(2019) Chang Gao et al.   INFORMATION SCIENCES

Characteristically Insights, Artificial Neural Network (ANN), Equilibrium, and Kinetic Studies of Pb(II) Ion Adsorption on Rice Husks Treated with Nitric Acid

(2019) Sami Ullah et al.   International Journal of Environmental Research

Development of artificial intelligence for modeling wastewater heavy metal removal: State of the art, application assessment and possible future research

(2019) Suraj Kumar Bhagat et al.   JOURNAL OF CLEANER PRODUCTION

Cross-linked chitosan/zeolite as a fixed-bed column for organic micropollutants removal from aqueous solution, optimization with RSM and artificial neural network

(2019) Mohammadtaghi Vakili et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

A critical review on antibiotics and hormones in swine wastewater: Water pollution problems and control approaches

(2019) Dongle Cheng et al.   JOURNAL OF HAZARDOUS MATERIALS

Modeling the performance of Single-stage Nitrogen removal using Anammox and Partial nitritation (SNAP) process with backpropagation neural network and response surface methodology

(2019) Philip Antwi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Photodegradation of toxic dye using Gum Arabic-crosslinked-poly(acrylamide)/Ni(OH)2/FeOOH nanocomposites hydrogel

(2019) Mu. Naushad et al.   JOURNAL OF CLEANER PRODUCTION

Application of artificial intelligence to wastewater treatment: A bibliometric analysis and systematic review of technology, economy, management, and wastewater reuse

(2019) Lin Zhao et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

A review on experimental design for pollutants removal in water treatment with the aid of artificial intelligence

(2018) Mingyi Fan et al.   CHEMOSPHERE

Sorption, kinetic, thermodynamics and artificial neural network modelling of phenol and 3-amino-phenol in water on composite iron nano-adsorbent

(2018) Omar M.L. Alharbi   JOURNAL OF MOLECULAR LIQUIDS

Insights and pitfalls of artificial neural network modeling of competitive multi-metallic adsorption data

(2018) D.I. Mendoza-Castillo et al.   JOURNAL OF MOLECULAR LIQUIDS

Process optimization and adsorption modeling using activated carbon derived from palm oil kernel shell for Zn (II) disposal from the aqueous environment using differential evolution embedded neural network

(2018) Rama Rao Karri et al.   JOURNAL OF MOLECULAR LIQUIDS

The artificial neural network and Box-Behnken design for Cu 2+ removal by the pottery sludge from water samples: Equilibrium, kinetic and thermodynamic studies

(2018) Mohammad Kashif Uddin et al.   JOURNAL OF MOLECULAR LIQUIDS

Preparation and characterization of monoliths HKUST-1 MOF via straightforward conversion of Cu(OH)2-based monoliths and its application for wastewater treatment: artificial neural network and central composite design modeling

(2018) Nadieh Parsazadeh et al.   NEW JOURNAL OF CHEMISTRY

Removal of Crystal Violet by Using Reduced-Graphene-Oxide-Supported Bimetallic Fe/Ni Nanoparticles (rGO/Fe/Ni): Application of Artificial Intelligence Modeling for the Optimization Process

(2018) Wenqian Ruan et al.   Materials

Convolution in Convolution for Network in Network

(2018) Yanwei Pang et al.   IEEE Transactions on Neural Networks and Learning Systems

Modeling of simultaneous adsorption of dye and metal ion by sawdust from aqueous solution using of ANN and ANFIS

(2018) Maryam Dolatabadi et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Biosorptive removal of Zn(II) ions by Pongamia oil cake (Pongamia pinnata) in batch and fixed-bed column studies using response surface methodology and artificial neural network

(2018) Muthusamy Shanmugaprakash et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Regression model, artificial intelligence, and cost estimation for phosphate adsorption using encapsulated nanoscale zero-valent iron

(2018) Ahmed S. Mahmoud et al.   SEPARATION SCIENCE AND TECHNOLOGY

Phenol adsorption on scoria stone as adsorbent - Application of response surface method and artificial neural networks

(2018) Kiomars Sharafi et al.   JOURNAL OF MOLECULAR LIQUIDS

A new approach for modelling and optimization of Cu(II) biosorption from aqueous solutions using sugar beet shreds in a fixed-bed column

(2018) Nevena Blagojev et al.   JOURNAL OF HAZARDOUS MATERIALS

Prediction of membrane fouling using artificial neural networks for wastewater treated by membrane bioreactor technologies: bottlenecks and possibilities

(2017) Félix Schmitt et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

The nickel ion removal prediction model from aqueous solutions using a hybrid neural genetic algorithm

(2017) Fatemeh Sadat Hoseinian et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Ethanol mediated As(III) adsorption onto Zn-loaded pinecone biochar: Experimental investigation, modeling, and optimization using hybrid artificial neural network-genetic algorithm approach

(2017) Mohd. Zafar et al.   JOURNAL OF ENVIRONMENTAL SCIENCES

Antagonistic binary adsorption of heavy metals using stratified bone char columns

(2017) L.E. Hernández-Hernández et al.   JOURNAL OF MOLECULAR LIQUIDS

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

(2017) Sayiter Yildiz   KOREAN JOURNAL OF CHEMICAL ENGINEERING

Artificial neural network modelling of Cr(VI) surface adsorption with NiO nanoparticles using the results obtained from optimization of response surface methodology

(2017) Saber Khodaei Ashan et al.   NEURAL COMPUTING & APPLICATIONS

The performance of nanorods material as adsorbent for removal of azo dyes and heavy metal ions: Application of ultrasound wave, optimization and modeling

(2017) Ebrahim Alipanahpour Dil et al.   ULTRASONICS SONOCHEMISTRY

Preparation of nanomaterials for the ultrasound-enhanced removal of Pb 2+ ions and malachite green dye: Chemometric optimization and modeling

(2017) Ebrahim Alipanahpour Dil et al.   ULTRASONICS SONOCHEMISTRY

Comparative study of ANN and RSM for simultaneous optimization of multiple targets in Fenton treatment of landfill leachate

(2017) Mohammad Reza Sabour et al.   WASTE MANAGEMENT

The modelling of lead removal from water by deep eutectic solvents functionalized CNTs: artificial neural network (ANN) approach

(2017) Seef Saadi Fiyadh et al.   WATER SCIENCE AND TECHNOLOGY

Fixed-bed column studies on the removal of Fe 3+ and neural network modelling

(2017) Ensar Oguz   Arabian Journal of Chemistry

Artificial intelligence for the removal of benzene, toluene, ethyl benzene and xylene (BTEX) from aqueous solutions using iron nanoparticles

(2017) Ahmed S. Mahmoud et al.   Water Science and Technology-Water Supply

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

(2017) Mingyi Fan et al.   Scientific Reports

Comparative Study Between Response Surface Methodology and Artificial Neural Network for Adsorption of Crystal Violet on Magnetic Activated Carbon

(2016) Iman Salehi et al.   ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING

Process development for the removal of toxic metals by functionalized wood pulp: kinetic, thermodynamic, and computational modeling approach

(2016) Shilpa Varshney et al.   Clean Technologies and Environmental Policy

Enhancement of heavy metals sorption via nanocomposites of rice straw and Fe 3 O 4 nanoparticles using artificial neural network (ANN)

(2016) Roshanak Khandanlou et al.   ECOLOGICAL ENGINEERING

Batch adsorption studies of the removal of methyl violet 2B by soya bean waste: isotherm, kinetics and artificial neural network modelling

(2016) Muhammad Raziq Rahimi Kooh et al.   Environmental Earth Sciences

Dye adsorption from single and binary systems using NiO-MnO2nanocomposite and artificial neural network modeling

(2016) Niyaz Mohammad Mahmoodi et al.   Environmental Progress & Sustainable Energy

A magnetic mesoporous chitosan based core-shells biopolymer for anionic dye adsorption: Kinetic and isothermal study and application of ANN

(2016) Bahareh Tanhaei et al.   JOURNAL OF APPLIED POLYMER SCIENCE

Enhanced Adsorption of Hexavalent Chromium onto Magnetic Calcium Ferrite Nanoparticles: Kinetic, Isotherm, and Neural Network Modeling

(2016) Animesh Debnath et al.   JOURNAL OF DISPERSION SCIENCE AND TECHNOLOGY

Modeling of quaternary dyes adsorption onto ZnO–NR–AC artificial neural network: Analysis by derivative spectrophotometry

(2016) E. Alipanahpour Dil et al.   JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY

Adsorption of Triamterene on multi-walled and single-walled carbon nanotubes: Artificial neural network modeling and genetic algorithm optimization

(2016) A.M. Ghaedi et al.   JOURNAL OF MOLECULAR LIQUIDS

Lead biosorption onto coffee grounds: Comparative analysis of several optimization techniques using equilibrium adsorption models and ANN

(2016) Ricardo Gomez-Gonzalez et al.   Journal of the Taiwan Institute of Chemical Engineers

Evaluation of a newly developed biosorbent using packed bed column for possible application in the treatment of industrial effluents for removal of cadmium ions

(2016) Muhammad Fayyaz Ahmad et al.   Journal of the Taiwan Institute of Chemical Engineers

Application of artificial neural network and response surface methodology for the removal of crystal violet by zinc oxide nanorods loaded on activate carbon: kinetics and equilibrium study

(2016) Ebrahim Alipanahpour Dil et al.   Journal of the Taiwan Institute of Chemical Engineers

Biosorption of Pb(II) using Gundelia tournefortii: Kinetics, equilibrium, and thermodynamics

(2016) Farshad Rahimpour et al.   SEPARATION SCIENCE AND TECHNOLOGY

The use of artificial neural network for modelling of phycoremediation of toxic elements As(III) and As(V) from wastewater using Botryococcus braunii

(2016) M.S. Podder et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Highly efficient simultaneous ultrasonic assisted adsorption of brilliant green and eosin B onto ZnS nanoparticles loaded activated carbon: Artificial neural network modeling and central composite design optimization

(2016) M. Jamshidi et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Synthesis of CuO–NiO nanocomposite and dye adsorption modeling using artificial neural network

(2015) Niyaz Mohammad Mahmoodi et al.   Desalination and Water Treatment

Artificial neural network and genetic algorithms for modeling of removal of an azo dye on walnut husk

(2015) Abuzer Çelekli et al.   Desalination and Water Treatment

A modeling study by artificial neural network on ethidium bromide adsorption optimization using natural pumice and iron-coated pumice

(2015) Behzad Heibati et al.   Desalination and Water Treatment

Optimization of ranitidine hydrochloride removal from simulated pharmaceutical waste by activated charcoal from mung bean husk using response surface methodology and artificial neural network

(2015) Sandip Mondal et al.   Desalination and Water Treatment

Artificial neural network (ANN) technique for modeling the mercury adsorption from aqueous solution usingSargassum Bevanomalgae

(2015) H. Esfandian et al.   Desalination and Water Treatment

Biosorption of copper(II) ions by flax meal: Empirical modeling and process optimization by response surface methodology (RSM) and artificial neural network (ANN) simulation

(2015) Daria Podstawczyk et al.   ECOLOGICAL ENGINEERING

Simple Chemical Route Synthesis of Fe2O3Nanoparticles and its Application for Adsorptive Removal of Congo Red from Aqueous Media: Artificial Neural Network Modeling

(2015) Animesh Debnath et al.   JOURNAL OF DISPERSION SCIENCE AND TECHNOLOGY

Artificial neural network-genetic algorithm based optimization for the adsorption of phenol red (PR) onto gold and titanium dioxide nanoparticles loaded on activated carbon

(2015) M. Ghaedi et al.   JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY

The use of artificial neural network (ANN) for modeling of Pb(II) adsorption in batch process

(2015) Biswajit Singha et al.   JOURNAL OF MOLECULAR LIQUIDS

Optimization of cationic dye adsorption on activated spent tea: Equilibrium, kinetics, thermodynamic and artificial neural network modeling

(2015) Ali Akbar Babaei et al.   KOREAN JOURNAL OF CHEMICAL ENGINEERING

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms

(2015) Raluca Maria Hlihor et al.   New Biotechnology

Synthesis of CuO nanoparticles through green route using Citrus limon juice and its application as nanosorbent for Cr(VI) remediation: Process optimization with RSM and ANN-GA based model

(2015) Sweta Mohan et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

SnO2 nanoparticle-loaded activated carbon for simultaneous removal of Acid Yellow 41 and Sunset Yellow; derivative spectrophotometric, artificial neural network and optimization approach

(2015) S. Hajati et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Comparison of ultrasonic with stirrer performance for removal of sunset yellow (SY) by activated carbon prepared from wood of orange tree: Artificial neural network modeling

(2015) A.M. Ghaedi et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Isotherm and kinetics study of malachite green adsorption onto copper nanowires loaded on activated carbon: Artificial neural network modeling and genetic algorithm optimization

(2015) M. Ghaedi et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Artificial neural network (ANN) method for modeling of sunset yellow dye adsorption using zinc oxide nanorods loaded on activated carbon: Kinetic and isotherm study

(2015) M. Maghsoudi et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Random forest model for the ultrasonic-assisted removal of chrysoidine G by copper sulfide nanoparticles loaded on activated carbon; response surface methodology approach

(2015) A. R. Bagheri et al.   RSC Advances

Development, application, and evaluation of artificial neural network in investigating the removal efficiency of Acid Red 57 by synthesized mesoporous carbon-coated monoliths

(2015) Mohamad Rasool Malekbala et al.   Desalination and Water Treatment

Modeling batch and column phosphate removal by hydrated ferric oxide-based nanocomposite using response surface methodology and artificial neural network

(2014) Yanyang Zhang et al.   CHEMICAL ENGINEERING JOURNAL

Analysis and modeling of multicomponent sorption of heavy metals on chicken feathers using Taguchi’s experimental designs and artificial neural networks

(2014) Hilda Elizabeth Reynel-Avila et al.   Desalination and Water Treatment

Artificial Neural Network (ANN) Method for Modeling of Sunset Yellow Dye Adsorption Using Nickel Sulfide Nanoparticle Loaded on Activated Carbon: Kinetic and Isotherm Study

(2014) M. Ghaedi et al.   JOURNAL OF DISPERSION SCIENCE AND TECHNOLOGY

Convolutional Neural Networks for Speech Recognition

(2014) Ossama Abdel-Hamid et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

Surfactant assisted nano-composite cation exchanger: Development, characterization and applications for the removal of toxic Pb2+ from aqueous medium

(2013) M. Naushad   CHEMICAL ENGINEERING JOURNAL

Artificial neural network (ANN) approach for modeling and formulation of phenol adsorption onto activated carbon

(2013) Z. Shahryari et al.   Journal of Engineering Thermophysics

Predicting adsorptive removal of chlorophenol from aqueous solution using artificial intelligence based modeling approaches

(2012) Kunwar P. Singh et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Evolutionary artificial neural networks: a review

(2011) Shifei Ding et al.   ARTIFICIAL INTELLIGENCE REVIEW

Thomas and artificial neural network models for the fixed-bed adsorption of methylene blue by a beach waste Posidonia oceanica (L.) dead leaves

(2011) Levent Cavas et al.   CHEMICAL ENGINEERING JOURNAL

The use of artificial neural networks (ANN) for modeling of adsorption of Cu(II) from industrial leachate by pumice

(2011) N. Gamze Turan et al.   CHEMICAL ENGINEERING JOURNAL

A particle swarm optimization approach to clustering

(2011) Tunchan Cura   EXPERT SYSTEMS WITH APPLICATIONS

Artificial neural network modeling in competitive adsorption of phenol and resorcinol from water environment using some carbonaceous adsorbents

(2011) R.M. Aghav et al.   JOURNAL OF HAZARDOUS MATERIALS

Use of BDST and an ANN model for prediction of dye adsorption efficiency of Eucalyptus camaldulensis barks in fixed-bed system

(2010) Behzat Balci et al.   EXPERT SYSTEMS WITH APPLICATIONS

Variable selection using random forests

(2010) Robin Genuer et al.   PATTERN RECOGNITION LETTERS