Classification Analysis of Blended Copper Concentrate Tablet Combustion Behavior by High-speed Imaging of Suspended Combustion Test and Convolutional Neural Network-Reference-Cited by-同舟云学术

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Classification Analysis of Blended Copper Concentrate Tablet Combustion Behavior by High-speed Imaging of Suspended Combustion Test and Convolutional Neural Network

Published:2024-08-09 Issue: Volume: Page:
ISSN:1881-6118
Container-title:Journal of MMIJ
language:en
Short-container-title:Journal of the Mining and Materials Processing Institute of Japan

Author:

NATSUI Shungo¹,GOTO Yuko²³,TAKAHASHI Jun-ichi⁴,NOGAMI Hiroshi¹

Affiliation:

1. Institute of Multidisciplinary Research for Advanced Materials, Tohoku University

2. Graduate School of Engineering, Tohoku University

3. Computer Aided Engineering and Development Department, Sumitomo Metal Mining Co., LTD.

4. Niihama Research Laboratories, Sumitomo Metal Mining Co., LTD.

Publisher

Mining and Materials Processing Institute of Japan

Link

https://www.jstage.jst.go.jp/article/journalofmmij/advpub/0/advpub_MMIJ-2024-006/_pdf

Reference46 articles.

1. 1) The Organizing Committee, 2022. Preface. Copper. In the. Proceedings of the Copper 2022 International Conference, 1: Economics, Markets and Applications 2022. Santiago, Chile, pp. 5–6.

2. 2) Z. Zivkovic, P. Djordjevic, and N. Mitevska: Min., Metall. Explor., 37(1), (2020), pp. 267-275.

3. 3) J. P. Jylhä, N. A. Khan, and A. Jokilaakso: Processes, 8(4), (2020), 485.

4. 4) M. Bacedoni, I. Moreno-Ventas, and G. Ríos: Metals, 10(9), (2020), 1229.

5. 5) E. Burger, D. Bourgarit, V. Frotté, and F. Pilon: J. Therm. Anal. Calorimetry, 103(1), (2011), pp. 249-256.

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