Vote for your favorite mineral in #MinCup25! - Topaz vs. Kyanite
It's a battle of high-pressure colourful beauties of #topaz vs #kyanite. Which can stand the heat of round 1?
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Cen, Lihui, Wu, Yuming, Hu, Jian, Xia, E, Xie, Yongfang, Tang, Zhaohui (2022) Application of density-based clustering algorithm and capsule network to performance monitoring of antimony flotation process. Minerals Engineering, 184. 107603 doi:10.1016/j.mineng.2022.107603

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleApplication of density-based clustering algorithm and capsule network to performance monitoring of antimony flotation process
JournalMinerals Engineering
AuthorsCen, LihuiAuthor
Wu, YumingAuthor
Hu, JianAuthor
Xia, EAuthor
Xie, YongfangAuthor
Tang, ZhaohuiAuthor
Year2022 (June)Volume184
PublisherElsevier BV
DOIdoi:10.1016/j.mineng.2022.107603Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15207415Long-form Identifiermindat:1:5:15207415:1
GUID0
Full ReferenceCen, Lihui, Wu, Yuming, Hu, Jian, Xia, E, Xie, Yongfang, Tang, Zhaohui (2022) Application of density-based clustering algorithm and capsule network to performance monitoring of antimony flotation process. Minerals Engineering, 184. 107603 doi:10.1016/j.mineng.2022.107603
Plain TextCen, Lihui, Wu, Yuming, Hu, Jian, Xia, E, Xie, Yongfang, Tang, Zhaohui (2022) Application of density-based clustering algorithm and capsule network to performance monitoring of antimony flotation process. Minerals Engineering, 184. 107603 doi:10.1016/j.mineng.2022.107603
In(2022) Minerals Engineering Vol. 184. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Zhang, Jin, Tang, Zhaohui, Xie, Yongfang, Ai, Mingxi, Gui, Weihua (2020) Convolutional memory network-based flotation performance monitoring. Minerals Engineering, 151. 106332pp. doi:10.1016/j.mineng.2020.106332
Zhang, Hu, Tang, Zhaohui, Xie, Yongfang, Gao, Xiaoliang, Chen, Qing, Gui, Weihua (2021) Long short-term memory-based grade monitoring in froth flotation using a froth video sequence. Minerals Engineering, 160. 106677pp. doi:10.1016/j.mineng.2020.106677
Xie, Yongfang, Zhang, Bin, Xie, Shiwen, Tang, Zhaohui (2024) Flotation froth image enhancement based on region decomposition and guided filtering. Minerals Engineering, 216. 108919 doi:10.1016/j.mineng.2024.108919
Zhong, Yuze, Tang, Zhaohui, Zhang, Hu, Xie, Yongfang, Guo, Juncen (2024) Short-long temporal graph convolution network for grade monitoring in a first zinc rougher. Minerals Engineering, 205. 108457 doi:10.1016/j.mineng.2023.108457
Tian, Can, Tang, Zhaohui, Xie, Yongfang, Zhang, Hu, Gui, Weihua (2023) Towards tailing grade prediction in zinc flotation via variablewise and temporalwise attention. Minerals Engineering, 192. 108000 doi:10.1016/j.mineng.2023.108000
Wu, Yuming, Cen, Lihui, Kan, Shichao, Xie, Yongfang (2023) Multi-layer capsule network with joint dynamic routing for fire recognition. Image and Vision Computing, 139. 104825 doi:10.1016/j.imavis.2023.104825
Gao, Xiaoliang, Tang, Zhaohui, Xie, Yongfang, Zhang, Hu, Gui, Weihua (2021) A layered working condition perception integrating handcrafted with deep features for froth flotation. Minerals Engineering, 170. 107059pp. doi:10.1016/j.mineng.2021.107059
Zhang, Hu, Tang, Zhaohui, Xie, Yongfang, Luo, Jin, Chen, Qing, Gui, Weihua (2021) Grade prediction of zinc tailings using an encoder-decoder model in froth flotation. Minerals Engineering, 172. 107173pp. doi:10.1016/j.mineng.2021.107173
Zhang, Jin, Tang, Zhaohui, Liu, Jinping, Tan, Zhen, Xu, Pengfei (2016) Recognition of flotation working conditions through froth image statistical modeling for performance monitoring. Minerals Engineering, 86. 116-129 doi:10.1016/j.mineng.2015.12.008
Wang, Xiaoli, Song, Chen, Yang, Chunhua, Xie, Yongfang (2018) Process working condition recognition based on the fusion of morphological and pixel set features of froth for froth flotation. Minerals Engineering, 128. 17-26 doi:10.1016/j.mineng.2018.08.017
Wang, Changtao, Liu, Runqing, Zhai, Qilin, Wu, Meirong, Jing, Nianwen, Xie, Feifei, Sun, Wei (2022) Influence of calcium and ferric ions on the depression of chalcopyrite by CMC: Flotation performance and adsorption mechanism study. Minerals Engineering, 184. 107667 doi:10.1016/j.mineng.2022.107667
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 13, 2025 19:08:33
Go to top of page