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Biofuels Volume 10, 2019 - Issue 6
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Articles

Recourse recovery of bioenergy from cellulosic material in a microbial fuel cell fed with giant reed-loaded wastewater

Zainab Z. IsmailDepartment of Environmental Engineering, University of Baghdad, Baghdad, IraqCorrespondence[email protected] [email protected]
,
Abeer I. Al-waredDepartment of Environmental Engineering, University of Baghdad, Baghdad, Iraq
&
Ali J. JaeelDepartment of Civil Engineering, Wasit University, Wasit, Iraq
Pages 737-745 | Received 23 Jun 2017, Accepted 20 Oct 2017, Published online: 08 Dec 2017

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Rishi Gurjar & Manaswini Behera. (2023) Integrating operating conditions to develop a neural network for predicting organics removal and power density in an earthen microbial fuel cell treating leachate. Biofuels 14:1, pages 49-58.
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Articles from other publishers (10)

Ivan Medvedev, Mariya Kornaukhova, Christoforos Galazis, Bálint Lóránt, Gábor Márk Tardy, Alexander Losev & Igor Goryanin. (2023) Using AI and BES/MFC to decrease the prediction time of BOD5 measurement. Environmental Monitoring and Assessment 195:9.
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Yaser Abdollahfard, Mehdi Sedighi & Mostafa Ghasemi. (2023) A New Approach for Improving Microbial Fuel Cell Performance Using Artificial Intelligence. Sustainability 15:2, pages 1312.
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N. A. Mohammed & Z. Z. Ismail. (2021) Prediction of pollutants removal from cheese industry wastewater in constructed wetland by artificial neural network. International Journal of Environmental Science and Technology 19:10, pages 9775-9790.
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Mohd Jahir Khan, Nikhil Singh, Sudhanshu Mishra, Ankesh Ahirwar, Felix Bast, Sunita Varjani, Benoit Schoefs, Justine Marchand, Karthik Rajendran, J. Rajesh Banu, Ganesh Dattatraya Saratale, Rijuta Ganesh Saratale & Vandana Vinayak. (2022) Impact of light on microalgal photosynthetic microbial fuel cells and removal of pollutants by nanoadsorbent biopolymers: Updates, challenges and innovations. Chemosphere 288, pages 132589.
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Siddharth Gadkari. 2022. Scaling Up of Microbial Electrochemical Systems. Scaling Up of Microbial Electrochemical Systems 437 455 .
Kiran Kumar V.Man mohan K.K. Gunaseelan & S. Gajalakshmi. (2021) Insights into the role of Bioinspiration, Photosynthetic organisms, and Biomass-derived Electrodes/Membranes in the development of Bioelectrochemical Systems. Sustainable Energy Technologies and Assessments 48, pages 101570.
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Michail-Antisthenis Tsompanas, Jiseon You, Hemma Philamore, Jonathan Rossiter & Ioannis Ieropoulos. (2021) Neural Networks Predicting Microbial Fuel Cells Output for Soft Robotics Applications. Frontiers in Robotics and AI 8.
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Mostafa Ghasemi, Ahmed M. Nassef, Mujahed Al‐Dhaifallah & Hegazy Rezk. (2020) Performance improvement of microbial fuel cell through artificial intelligence. International Journal of Energy Research 45:1, pages 342-354.
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A. de Ramón-Fernández, M.J. Salar-García, D. Ruiz Fernández, J. Greenman & I.A. Ieropoulos. (2020) Evaluation of artificial neural network algorithms for predicting the effect of the urine flow rate on the power performance of microbial fuel cells. Energy 213, pages 118806.
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Michail-Antisthenis Tsompanas, Jiseon You, Lauren Wallis, John Greenman & Ioannis Ieropoulos. (2019) Artificial neural network simulating microbial fuel cells with different membrane materials and electrode configurations. Journal of Power Sources 436, pages 226832.
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