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Energy Sources, Part A: Recovery, Utilization, and Environmental Effects Volume 45, 2023 - Issue 3
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A comprehensive review of froth surface monitoring as an aid for grade and recovery prediction of flotation process. Part B: Texture and dynamic features

Fardis Nakhaeia Department of Mining & Metallurgical Engineering, Amirkabir University of Technology, Tehran, IranCorrespondence[email protected]
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Mehdi Irannajada Department of Mining & Metallurgical Engineering, Amirkabir University of Technology, Tehran, IranORCID Iconhttps://orcid.org/0000-0002-5469-084XView further author information
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Sima Mohammadnejadb Department of Mining Engineering, Tarbiat Modares University, Tehran, IranView further author information
Pages 7812-7834 | Received 19 Jan 2019, Accepted 21 Sep 2019, Published online: 17 Oct 2019

Citations (6)

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Read on this site (1)

C. Bhondayi. (2022) Flotation Froth Phase Bubble Size Measurement. Mineral Processing and Extractive Metallurgy Review 43:2, pages 251-273.
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Articles from other publishers (5)

F. Nakhaei & I. Jovanović. (2023) Developments and applications of 3D imaging systems in mineral processing. Journal of Mining and Metallurgy A: Mining 59:1, pages 35-47.
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Claudio Leiva, Claudio Acuña, Luis Bergh, Saija Luukkanen & Cristóbal da Silva. (2022) Online Superficial Gas Velocity, Holdup, and Froth Depth Sensor for Flotation Cells. Journal of Sensors 2022, pages 1-12.
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Fardis Nakhaei, Samira Rahimi & Mohammadbagher Fathi. (2022) Prediction of Sulfur Removal from Iron Concentrate Using Column Flotation Froth Features: Comparison of k-Means Clustering, Regression, Backpropagation Neural Network, and Convolutional Neural Network. Minerals 12:11, pages 1434.
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Jin Luo, Zhaohui Tang, Hu Zhang, Ying Fan & Yongfang Xie. (2021) LTGH: A Dynamic Texture Feature for Working Condition Recognition in the Froth Flotation. IEEE Transactions on Instrumentation and Measurement 70, pages 1-10.
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Mingfang He, Bei Sun, Guoxiong Zhou & Junjie Zhu. (2020) Moving Horizon Estimation of Sulfur Concentrate Grade Based on Kinetic Models Under Multiple Working Conditions. IEEE Access 8, pages 159718-159731.
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