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Citations (10)
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Barun Harichandan & N. R. Mandre. (2022) Experimental and statistical modelling on copper recovery from low-grade mixed sulphide-oxide ore by direct leaching. Canadian Metallurgical Quarterly 61:2, pages 190-201.
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G.S.S. Raman & M.S. Klima. (2022) Evaluation of Pressure Filtration of Coal Refuse Slurry: Effects of pH, Filtration, and Air-Blow Times. Mineral Processing and Extractive Metallurgy Review 43:1, pages 13-21.
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Freddy A. Lucay, Mauricio Sales-Cruz, Edelmira D. Gálvez & Luis A. Cisternas. (2021) Modeling of the Complex Behavior through an Improved Response Surface Methodology. Mineral Processing and Extractive Metallurgy Review 42:5, pages 285-311.
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Sunil Kumar Tripathy, Y. Rama Murthy, Saeed Farrokhpay & Lev O. Filippov. (2021) Design and Analysis of Dewatering Circuits for a Chromite Processing Plant Tailing Slurry. Mineral Processing and Extractive Metallurgy Review 42:2, pages 102-114.
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Ali Aras, Hakan Özşen & Arif Emre Dursun. (2020) Using Artificial Neural Networks for the Prediction of Bond Work Index from Rock Mechanics Properties. Mineral Processing and Extractive Metallurgy Review 41:3, pages 145-152.
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Lu Wang, Zonghao Li, Jianhua Fan, Guanyu Lu, Dan Liu & Zhiwu Han. (2023) Prediction of membrane purification by membrane fouling based on mathematic and machine learning models combined with image processing technology. Journal of Environmental Chemical Engineering 11:5, pages 111154.
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T. Santosh, Rahul K. Soni, C. Eswaraiah & Shravan Kumar. (2022) Application of artificial neural network method to predict the breakage properties of PGE bearing chromite ore. Advanced Powder Technology 33:3, pages 103450.
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Amit Kumar Mishra. (2021) AI4R2R (AI for Rock to Revenue): A Review of the Applications of AI in Mineral Processing. Minerals 11:10, pages 1118.
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Nattane Luíza da Costa, Márcio Dias de Lima & Rommel Barbosa. (2021) Evaluation of feature selection methods based on artificial neural network weights. Expert Systems with Applications 168, pages 114312.
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Sunil Kumar Tripathy, Itishree Mohanty & Lev O. Filippov. (2020) Application of Artificial Neural Networks to Predict Dry Magnetic Separation of Low-Grade Hematite Fines. Transactions of the Indian Institute of Metals 73:7, pages 1797-1807.
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