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Coal and gangue recognition under four operating conditions by using image analysis and Relief-SVM
Taylor & Francis Verlag | 2020| -
A Review of the Occurrence and Promising Recovery Methods of Rare Earth Elements from Coal and Coal By-Products
Taylor & Francis Verlag | 2015| -
Identification of Coal and Gangue by Feed-forward Neural Network Based on Data Analysis
Taylor & Francis Verlag | 2019| -
Separation of gangue from coal based on supplementary texture by morphology
Taylor & Francis Verlag | 2022| -
Removal of a reactive dye using NaOH-activated biochar prepared from peanut shell by pyrolysis process
Taylor & Francis Verlag | 2022| -
Prediction of gross calorific value of solid fuels from their proximate analysis using soft computing and regression analysis
Taylor & Francis Verlag | 2022| -
Research on methods to differentiate coal and gangue using image processing and a support vector machine
Taylor & Francis Verlag | 2021| -
Evaluation of a new vibrating screen for dry screening fine coal with different moisture contents
Taylor & Francis Verlag | 2022| -
Recovery of rare-earth elements from coal fly ash via enhanced leaching
Taylor & Francis Verlag | 2022| -
Experimentation and statistical prediction of screening performance of coal with different moisture content in the vibrating screen
Taylor & Francis Verlag | 2022| -
Industrial Application of a Modularized Dry-Coal-Beneficiation Technique Based on a Novel Air Dense Medium Fluidized Bed
Taylor & Francis Verlag | 2017| -
Dry coal beneficiation technique in the gas–solid fluidized bed: a review
Taylor & Francis Verlag | 2022| -
Image positioning and identification method and system for coal and gangue sorting robot
Taylor & Francis Verlag | 2022|
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