Identification of Valuable Minerals or Metals in Ores Using Microwave Imaging-Reference-Cited by-同舟云学术

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Identification of Valuable Minerals or Metals in Ores Using Microwave Imaging

Published:2022-12 Issue:12 Volume:70 Page:12189-12198
ISSN:0018-926X
Container-title:IEEE Transactions on Antennas and Propagation
language:
Short-container-title:IEEE Trans. Antennas Propagat.

Author:

Duan Beichen¹^ORCID,Bobicki Erin R.²,Hum Sean Victor³^ORCID

Affiliation:

1. Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON, Canada

2. Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada

3. The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada

Funder

NSERC Alliance

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8/9996294/09908442.pdf?arnumber=9908442

Reference62 articles.

1. Hybrid Approaches

2. Quantitative Stochastic Reconstruction Methods

3. Microwave reduction of Black Thor chromite ore

4. Microwaves in extractive metallurgy: Part 2 – A review of applications

5. Microwave energy for mineral treatment processes—a brief review

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing multi-spectral ore sorting incorporating wavelength selection utilizing neighborhood component analysis for effective arsenic mineral detection;Scientific Reports;2024-05-21

2. Optimizing Multi-Spectral Ore Sorting: Incorporating Wavelength Selection Utilizing Neighborhood Component Analysis for Effective Arsenic Mineral Detection;2024-04-12

3. Application of microwave imaging in sensor-based ore sorting;Minerals Engineering;2023-11

4. Sensor-Based Ore Sorting—A Review of Current Use of Electromagnetic Spectrum in Sorting;IEEE Access;2022

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