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Energy Sources, Part A: Recovery, Utilization, and Environmental Effects Volume 38, 2016 - Issue 19
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Research Article

An artificial intelligence approach to predict a lower heating value of municipal solid waste

Ugur OzverenMarmara University, Chemical Engineering, Istanbul, TurkeyCorrespondence[email protected]
Pages 2906-2913 | Published online: 03 Oct 2016

Citations (7)

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Read on this site (1)

Oluwatobi Adeleke, Stephen Akinlabi, Tien-Chien Jen & Israel Dunmade. (2022) Prediction of the heating value of municipal solid waste: a case study of the city of Johannesburg. International Journal of Ambient Energy 43:1, pages 3845-3856.
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Articles from other publishers (6)

Lynda Andeobu, Santoso Wibowo & Srimannarayana Grandhi. (2022) Artificial intelligence applications for sustainable solid waste management practices in Australia: A systematic review. Science of The Total Environment 834, pages 155389.
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Wanjun Xia, Yanping Jiang, Xiaohong Chen & Rui Zhao. (2021) Application of machine learning algorithms in municipal solid waste management: A mini review. Waste Management & Research: The Journal for a Sustainable Circular Economy 40:6, pages 609-624.
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Oluwatobi Adeleke, Stephen A Akinlabi, Tien-Chien Jen & Israel Dunmade. (2021) Application of artificial neural networks for predicting the physical composition of municipal solid waste: An assessment of the impact of seasonal variation. Waste Management & Research: The Journal for a Sustainable Circular Economy 39:8, pages 1058-1068.
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O.A. Adeleke, S.A. Akinlabi, T. C. Jen & I. Dunmade. (2021) Evaluation and Prediction of Energy Content of Municipal Solid Waste: A review. IOP Conference Series: Materials Science and Engineering 1107:1, pages 012097.
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Dan Wang, Yu-Ting Tang, Jun He, Fei Yang & Darren Robinson. (2021) Generalized models to predict the lower heating value (LHV) of municipal solid waste (MSW). Energy 216, pages 119279.
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Haihui You, Zengyi Ma, Yijun Tang, Yuelan Wang, Jianhua Yan, Mingjiang Ni, Kefa Cen & Qunxing Huang. (2017) Comparison of ANN (MLP), ANFIS, SVM, and RF models for the online classification of heating value of burning municipal solid waste in circulating fluidized bed incinerators. Waste Management 68, pages 186-197.
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