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[1]温智平,周长奎,panjinhe,聂天成,zhouzhangchun,luzhaolin.Deep learning-based ash content prediction of coal flotation concentrate using convolutional neural network,2021,卷: 174
[2]温智平,周长奎,panjinhe,聂天成,zhouzhangchun,luzhaolin.Deep learning-based ash content prediction of coal flotation concentrate using convolutional neural network,2021,卷: 174
[3]温智平,周长奎,panjinhe,聂天成,周长春,卢兆林.Deep learning-based ash content prediction of coal flotation concentrate using convolutional neural network,2021,卷: 174
[4]吉万顺,zhouzhangchun,panjinhe,曹闪闪,汤梦成,胡婷婷.粉煤灰浸出液中稀土元素钇的萃取分离研究,2019,2020年02期:62-68,7
[5]panjinhe,马超凡,刘晓凯,zhouzhangchun,刘铖.贵州某地煤中砷的赋存状态研究,2019,2019年07期:80-83,4
[6]汤梦成,zhouzhangchun,张宁宁,panjinhe,曹闪闪,胡婷婷,吉万顺,温智平,聂天成.Extraction of rare earth elements from coal fly ash by alkali fusion–acid leaching: Mechanism analysis,2019
[7]panjinhe,zhouzhangchun.Modes of Occurrence of Rare Earth Elements in Coal Fly Ash: A Case Study,2018,32;9;9738-9743
[8]panjinhe,zhouzhangchun.Arsenic in Coal: Modes of Occurrence and Reduction via Coal Preparation – a Case Study,2018,0;0;
[9]panjinhe,zhouzhangchun.Mercury in Chinese Coals Modes of Occurrence and its Removal Statistical Laws during Coal Separation,2017,31;1;986-995
[10]panjinhe,zhouzhangchun.长滩煤中汞元素赋存状态及洗选中迁移规律,2016,35;12;304-306
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