Advanced Spatio-Temporal Froth Analysis Using Smart Soft Sensors in Mineral Processing-Reference-Cited by-同舟云学术

Advanced Spatio-Temporal Froth Analysis Using Smart Soft Sensors in Mineral Processing

Published:2024-03-29 Issue:4 Volume:5 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Bendaouia Ahmed^ORCID,Abdelwahed El Hassan,Qassimi Sara,Boussetta Abdelmalek,Benzakour Intissar,Amar Oumkeltoum,Chekroun Mohamed,Hasidi Oussama,Lachihab Oussama

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42979-024-02706-7.pdf

Reference21 articles.

1. Qassimi S, Abdelwahed EH. Disruptive innovation in mining industry 4.0. In: Distributed sensing and intelligent systems. Studies in distributed intelligence. Springer; 2022. p. 313–25. https://doi.org/10.1007/978-3-030-64258-7_28.

2. Aldrich C, Avelar E, Liu X. Recent advances in flotation froth image analysis. Miner Eng. 2022;188:107823. https://doi.org/10.1016/j.mineng.2022.107823.

3. Uusitalo S, Soudunsaari T, Sumen J, Haavisto O, Kaartinen J, Huuskonen J, Tuikka A, Rahkamaa-Tolonen K, Paaso J. Online analysis of minerals from sulfide ore using near-infrared Raman spectroscopy. J Raman Spectrosc. 2020;51(6):978–88. https://doi.org/10.1002/jrs.5859.

4. Liu J, Gao Q, Tang Z, Xie Y, Gui W, Ma T, Niyoyita JP. Online monitoring of flotation froth bubble-size distributions via multiscale deblurring and multistage jumping feature-fused full convolutional networks. IEEE Trans Instrum Meas. 2020;69:9618–33. https://doi.org/10.1109/TIM.2020.3006629.

5. Farrokhpay S. The significance of froth stability in mineral flotation—a review. Adv Colloid Interface Sci. 2011;166:1–7. https://doi.org/10.1016/j.cis.2011.03.001.