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 ChemistryMineral Visual ExplorerAdvanced 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 QuizTime Machine
Photo SearchPhoto GalleriesSearch by ColorPhoto Colour ExplorerNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Yu, Tianyou; Zhu, Yimin; Liu, Jie; Han, Yuexin; Li, Yanjun (2025) Intelligent Pre-sorting Method for Spodumene Ore Combining X-ray Transmission (XRT) and Deep Learning: Promoting Energy Conservation and Emission Reduction in Mines. Mining, Metallurgy & Exploration, 42 (5). doi:10.1007/s42461-025-01299-w

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleIntelligent Pre-sorting Method for Spodumene Ore Combining X-ray Transmission (XRT) and Deep Learning: Promoting Energy Conservation and Emission Reduction in Mines
JournalMining, Metallurgy & Exploration
AuthorsYu, TianyouAuthor
Zhu, YiminAuthor
Liu, JieAuthor
Han, YuexinAuthor
Li, YanjunAuthor
Year2025 (October)Volume42
Issue5
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s42461-025-01299-wSearch in ResearchGate
Generate Citation Formats
Mindat Ref. ID19088027Long-form Identifiermindat:1:5:19088027:1
GUID0
Full ReferenceYu, Tianyou; Zhu, Yimin; Liu, Jie; Han, Yuexin; Li, Yanjun (2025) Intelligent Pre-sorting Method for Spodumene Ore Combining X-ray Transmission (XRT) and Deep Learning: Promoting Energy Conservation and Emission Reduction in Mines. Mining, Metallurgy & Exploration, 42 (5). doi:10.1007/s42461-025-01299-w
Plain TextYu, Tianyou; Zhu, Yimin; Liu, Jie; Han, Yuexin; Li, Yanjun (2025) Intelligent Pre-sorting Method for Spodumene Ore Combining X-ray Transmission (XRT) and Deep Learning: Promoting Energy Conservation and Emission Reduction in Mines. Mining, Metallurgy & Exploration, 42 (5). doi:10.1007/s42461-025-01299-w
In(2025, October) Mining, Metallurgy & Exploration Vol. 42 (5). Springer Science and Business Media LLC

References Listed

These are the references the publisher has listed as being connected to the article. Please check the article itself for the full list of references which may differ. Not all references are currently linkable within the Digital Library.

Not Yet Imported: - journal-article : 10.37190/ppmp/155840

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1080/19392699.2019.1685506

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Santos EG, de Brum IAS, Ambrós WM (2025) Sensor‑based sorting using De‑XRT sensor applied to a greenfield copper ore project in southern Brazil. IgMin Res 3(4):201–205. https://doi.org/10.61927/igmin299
(2020) TOMRA’s XRT sensor-based ore sorting technology significantly improves productivity and extends life of San Rafael tin mine Mining report 156(2):184–185
Kamarudin NA, Talib MSM, Lau PY, Hussin Z, Yuen SL, Samsuri MH, Wong CW, Hon HW (2024) MiMVP deep learning platform: Streamlining deep learning model development workflow for machine vision tasks. In: Proceedings of SPIE – the international society for optics and photonics, vol 13164, pp 56–62. https://doi.org/10.1117/12.3017907
Not Yet Imported: ACM Transactions on Human-Robot Interaction - journal-article : 10.1145/3570731

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.3390/technologies12020015

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Mittal P (2024) A comprehensive survey of deep learning-based lightweight object detection models for edge devices. Artif Intell Rev 57(9):242
Wang CH, Huang KY, Yao Y, Chen JC, Shuai HH, Cheng WH (2022) Lightweight deep learning: an overview. IEEE Consumer Electronics Magazine 1–12:2022
Chunmei W, Huan LIU (2024) YOLOv8-VSC: lightweight algorithm for strip surface defect detection. Journal of Frontiers of Computer Science & Technology 18(1):151
Not Yet Imported: - proceedings-article : 10.1145/3448218.3448234

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - proceedings-article : 10.1109/ICCV.2015.425

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - proceedings-article : 10.1109/ICCV.2017.322

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: Journal of Real-Time Image Processing - journal-article : 10.1007/s11554-023-01258-y

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: Procedia Computer Science - journal-article : 10.1016/j.procs.2022.01.135

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: Machines - journal-article : 10.3390/machines11070677

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Qin R, Chen N, Huang Y (2022) EDDNet: an efficient and accurate defect detection network for the industrial edge environment. In: Proceedings of the 6th international conference on computer and communications (ICCC). IEEE, pp 854–863. https://doi.org/10.1109/ICCC56126.2022.10035099
Not Yet Imported: - journal-article : 10.3390/machines10070523

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.3390/s23167112

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - proceedings-article : 10.1109/CVPR42600.2020.01080

If you would like this item imported into the Digital Library, please contact us quoting Journal ID


See Also

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

 
and/or  
Mindat.orgĀ® is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization. MindatĀ® and mindat.orgĀ® are registered trademarks of the Hudson Institute of Mineralogy.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2026, except where stated. Most political location boundaries are Ā© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph and Ida Chau.
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: June 6, 2026 18:29:59
Go to top of page