Prediction of density and sulfur content level of high‑sulfur coal based on image processing-Reference-Cited by-同舟云学术

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Prediction of density and sulfur content level of high‑sulfur coal based on image processing

Published:2022-07 Issue: Volume:407 Page:117669
ISSN:0032-5910
Container-title:Powder Technology
language:en
Short-container-title:Powder Technology

Author:

Qi Zeyou,Dou Dongyang

Publisher

Elsevier BV

Subject

General Chemical Engineering

Reference27 articles.

1. A procedure to estimate weight particle distributions from area measurements;Vallebuona;Miner. Eng.,2003

2. Coal Gangue Image identification and classification with wavelet transform;Ma,2009

3. Online analysis of coal on a conveyor belt by use of machine vision and kernel methods;Aldrich;Int. J. Coal Preparat. Utilizat.,2010

4. Recognition of coal and gangue based on X-Ray;Zhao,2012

5. Automated estimation of rock fragment distributions using computer vision and its application in mining;Salinas,2005

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1. Exploring the effect of various factors for ash content estimation via ensemble learning: Color-texture features, particle size, and magnification;Minerals Engineering;2023-10

2. Measurement of coal-carrying rate in gangue based on three-dimensional image features and gray wolf optimization-support vector machine;International Journal of Coal Preparation and Utilization;2023-03-15

3. Detecting coal content in gangue via machine vision and genetic algorithm-backpropagation neural network;Measurement;2022-09

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