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Desalination and Water Treatment Volume 57, 2016 - Issue 8
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Articles

Artificial neural network modelling for removal of chromium (VI) from wastewater using physisorption onto powdered activated carbon

Kumar AnupamPhysical Chemistry, Pulping and Bleaching Division, Central Pulp and Paper Research Institute, Himmat Nagar, Saharanpur247001, Uttarpradesh, India, Tel. +91 132 2714054; Fax:+91 132 2714052Correspondence[email protected]
,
Suman DuttaDepartment of Chemical Engineering, Indian School of Mines, Dhanbad826004, Jharkhand, India, Tel. +91 9471192214Correspondence[email protected]
,
Chiranjib BhattacharjeeDepartment of Chemical Engineering, Jadavpur University, Kolkata700032, West Bengal, India, Tel. +91 9836402118, Tel. +91 9830108902Correspondence[email protected]
&
Siddhartha DattaDepartment of Chemical Engineering, Jadavpur University, Kolkata700032, West Bengal, India, Tel. +91 9836402118, Tel. +91 9830108902Correspondence[email protected]
Pages 3632-3641 | Received 03 Mar 2014, Accepted 07 Nov 2014, Published online: 03 Dec 2014

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Ezerie Henry Ezechi, Shamsul Rahman bin Mohamed Kutty, Mohamed Hasnain Isa & Mohd Shahir Liew. (2016) Application of response surface methodology for the optimization of hexavalent chromium removal using a new low-cost adsorbent. Desalination and Water Treatment 57:47, pages 22507-22518.
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Articles from other publishers (21)

Tariq J. Al-Musawi, Sayyed Mohammad Ali Arghavan, Elaheh Allahyari, Fatemeh Sadat Arghavan, Amina Othmani & Negin Nasseh. (2022) Adsorption of malachite green dye onto almond peel waste: a study focusing on application of the ANN approach for optimization of the effect of environmental parameters. Biomass Conversion and Biorefinery 13:13, pages 12073-12084.
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Amit Kumar & D. Basu. (2023) Parametric optimization of hexavalent chromium removal by electrocoagulation technology with vertical rotating cylindrical aluminum electrodes using Taguchi and ANN model. Journal of Environmental Health Science and Engineering 21:1, pages 255-275.
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Erfan Nabavi, Mehrdad Shamskilani, Ghorban Ali Dezvareh & Ahmad Khodadadi Darban. (2023) ANN-Based Modeling of Combined O3/H2O2 Oxidation, and Activated Carbon Adsorption Treatment System: Forest Polluting Site Leachate. Water, Air, & Soil Pollution 234:2.
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Narendra Khatri, Ajay Kumar Vyas, Antar Shaddad H. Abdul-Qawy & Eldon R. Rene. (2023) Artificial neural network based models for predicting the effluent quality of a combined upflow anaerobic sludge blanket and facultative pond: Performance evaluation and comparison of different algorithms. Environmental Research 217, pages 114843.
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Vijoyeta Chakraborty & Papita Das. (2020) Synthesis of nano-silica-coated biochar from thermal conversion of sawdust and its application for Cr removal: kinetic modelling using linear and nonlinear method and modelling using artificial neural network analysis. Biomass Conversion and Biorefinery 13:2, pages 821-831.
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Sara Nanvakenari, Mitra Ghasemi & Kamyar Movagharnejad. (2022) Viscosity prediction of hydrocarbon binary mixture using an artificial neural network-group contribution method. Chemical Product and Process Modeling 17:3, pages 199-211.
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Hifsa Khurshid, Muhammad Raza Ul Mustafa & Yeek-Chia Ho. 2022. International Conference on Artificial Intelligence for Smart Community. International Conference on Artificial Intelligence for Smart Community 525 537 .
Zaher Mundher Yaseen. (2021) An insight into machine learning models era in simulating soil, water bodies and adsorption heavy metals: Review, challenges and solutions. Chemosphere 277, pages 130126.
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Fatemeh Sadat Arghavan, Tariq J. Al-Musawi, Elaheh Allahyari, Mohammad Hadi Moslehi, Negin Nasseh & Ayat Hossein Panahi. (2021) Complete degradation of tamoxifen using FeNi3@SiO2@ZnO as a photocatalyst with UV light irradiation: A study on the degradation process and sensitivity analysis using ANN tool. Materials Science in Semiconductor Processing 128, pages 105725.
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Mahmoud Nasr, Karam Mohamed, Michael Attia & Mona G. Ibrahim. 2021. Soft Computing Techniques in Solid Waste and Wastewater Management. Soft Computing Techniques in Solid Waste and Wastewater Management 171 185 .
Inioluwa Christianah Afolabi, Segun Isaiah Popoola & Olugbenga Solomon Bello. (2020) Machine learning approach for prediction of paracetamol adsorption efficiency on chemically modified orange peel. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 243, pages 118769.
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Hamid Yazdani, Abbas Khoshhal & Nayereh S. Mousavi. (2020) Evaluating the performance of a sequencing batch reactor for sanitary wastewater treatment using artificial neural network. Environmental Progress & Sustainable Energy 39:6.
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Narendra Khatri, Kamal Kishore Khatri & Abhishek Sharma. (2020) Artificial neural network modelling of faecal coliform removal in an intermittent cycle extended aeration system-sequential batch reactor based wastewater treatment plant. Journal of Water Process Engineering 37, pages 101477.
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Arthur Pontes de Miranda Ramos Soares, Frede de Oliveira Carvalho, Carlos Eduardo de Farias Silva, Andreza Heloiza da Silva Gonçalves & Ana Karla de Souza Abud. (2020) Random Forest as a promising application to predict basic-dye biosorption process using orange waste. Journal of Environmental Chemical Engineering 8:4, pages 103952.
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Suraj Kumar Bhagat, Tran Minh Tung & Zaher Mundher Yaseen. (2020) Development of artificial intelligence for modeling wastewater heavy metal removal: State of the art, application assessment and possible future research. Journal of Cleaner Production 250, pages 119473.
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Fatemeh Notghi Oskui, Hassan Aghdasinia & Mahsa Golghasemi Sorkhabi. (2019) Modeling and optimization of chromium adsorption onto clay using response surface methodology, artificial neural network, and equilibrium isotherm models. Environmental Progress & Sustainable Energy 38:6.
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Junjun Chang, Shengjiong Deng, Yun Liang & Jinquan Chen. (2019) Cr(VI) removal performance from aqueous solution by Pseudomonas sp. strain DC-B3 isolated from mine soil: characterization of both Cr(VI) bioreduction and total Cr biosorption processes. Environmental Science and Pollution Research 26:27, pages 28135-28145.
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Sushovan Sen, Somnath Nandi & Susmita Dutta. (2018) Application of RSM and ANN for optimization and modeling of biosorption of chromium(VI) using cyanobacterial biomass. Applied Water Science 8:5.
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Farideh Nabizadeh Chianeh, Jalal Basiri Parsa & Hadi Rezaei Vahidian. (2017) Artificial neural network modeling for removal of azo dye from aqueous solutions by Ti anode coated with multiwall carbon nanotubes. Environmental Progress & Sustainable Energy 36:6, pages 1778-1784.
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Manh-Ha Bui, Thanh-Luu Pham & Thanh-Son Dao. (2017) Prediction of cyanobacterial blooms in the Dau Tieng Reservoir using an artificial neural network. Marine and Freshwater Research 68:11, pages 2070.
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Niyaz Mohammad Mahmoodi, Zahra Hosseinabadi-Farahani & Hooman Chamani. (2017) Dye adsorption from single and binary systems using NiO-MnO 2 nanocomposite and artificial neural network modeling . Environmental Progress & Sustainable Energy 36:1, pages 111-119.
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