登录注册
Quick Links : Mindat手册The Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
主页关于 MindatMindat手册Mindat的历史版权Who We Are联系我们于 Mindat.org刊登广告
捐赠给 MindatCorporate Sponsorship赞助板页已赞助的板页在 Mindat刊登 广告的广告商于 Mindat.org刊登广告
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
搜索矿物的性质搜索矿物的化学Mineral Visual ExplorerAdvanced Locality Search随意显示任何一 种矿物Random Locality使用minID搜索邻近产地Search Articles搜索词汇表更多搜索选项
搜索:
矿物名称:
地区产地名称:
关键字:
 
Mindat手册添加新照片Rate Photos产区编辑报告Coordinate Completion Report添加词汇表项目
Mining Companies统计会员列表Mineral MuseumsClubs & Organizations矿物展及活动The Mindat目录表设备设置The Mineral QuizTime Machine
照片搜索Photo GalleriesSearch by ColorPhoto Colour Explorer今天最新的照片昨天最新的照片用户照片相集过去每日精选照片相集Photography

Zhang, Yu; Shi, Guanghai (2025) Big Data and AI-Enabled Construction of a Novel Gemstone Database: Challenges, Methodologies, and Future Perspectives. Minerals, 15 (11). doi:10.3390/min15111149

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleBig Data and AI-Enabled Construction of a Novel Gemstone Database: Challenges, Methodologies, and Future Perspectives
JournalMinerals
AuthorsZhang, YuAuthor
Shi, GuanghaiAuthor
Year2025 (October 31)Volume15
Issue11
PublisherMDPI AG
DOIdoi:10.3390/min15111149Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID19178357Long-form Identifiermindat:1:5:19178357:1
GUID0
Full ReferenceZhang, Yu; Shi, Guanghai (2025) Big Data and AI-Enabled Construction of a Novel Gemstone Database: Challenges, Methodologies, and Future Perspectives. Minerals, 15 (11). doi:10.3390/min15111149
Plain TextZhang, Yu; Shi, Guanghai (2025) Big Data and AI-Enabled Construction of a Novel Gemstone Database: Challenges, Methodologies, and Future Perspectives. Minerals, 15 (11). doi:10.3390/min15111149
In(2025, October) Minerals Vol. 15 (11). MDPI AG

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.

Zhao (2025) Ann. Oper. Res. Big data modeling and applications 348, 1
Guo (2018) Bull. Chin. Acad. Sci. Scientific Big Data—A Footstone of National Strategy for Big Data 33, 768
Not Yet Imported: National Science Review - journal-article : 10.1093/nsr/nwab027

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Day (2024) Artif. Intell. Geosci. Exploring emerald global geochemical provenance through fingerprinting and machine learning methods 5, 100085
Bendinelli (2024) Commun. Eng. GEMTELLIGENCE: Accelerating gemstone classification with deep learning 3, 110
Not Yet Imported: - journal-article : 10.1007/s10044-021-01041-4

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
(2025) DYNA Estimation of emerald mineralization probability using machine learning algorithms 92, 19
Not Yet Imported: Diamond and Related Materials - journal-article : 10.1016/j.diamond.2006.01.020

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: Gems & Gemology - journal-article : 10.5741/GEMS.50.2.114

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.15506/JoG.2020.37.4.416

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.15506/JoG.2023.38.6.582

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: The Journal of Gemmology - journal-article : 10.15506/JoG.2022.38.4.312

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1088/2399-6528/abc7ea

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: Measurement - journal-article : 10.1016/j.measurement.2018.06.011

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Saeseaw (2017) Gems Gemol. A Study of Sapphire from Chanthaburi, Thailand and its Gemological Characteristics 53, 1
Not Yet Imported: 2022 29th International Conference on Systems, Signals and Image Processing (IWSSIP) - proceedings-article : 10.1109/IWSSIP55020.2022.9854441

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.1007/s40031-024-01003-4

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: IEEE Transactions on Pattern Analysis and Machine Intelligence - journal-article : 10.1109/TPAMI.2019.2918284

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: - journal-article : 10.3390/app11031024

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: Engineering Applications of Artificial Intelligence - journal-article : 10.1016/j.engappai.2014.09.011

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: IEEE Transactions on Systems, Man, and Cybernetics: Systems - journal-article : 10.1109/TSMC.2015.2427776

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
(2025, September 12). Hyperion Gemstone Inclusion Database, Created by Lotus Gemology Laboratory. Available online: https://lotusgemology.com/index.php/en/resources/hyperion-inclusion-repository.
Not Yet Imported: - book : 10.1515/9783110417104

If you would like this item imported into the Digital Library, please contact us quoting Book ID 9783110417043


See Also

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

 
and/or  
版权所有© mindat.org1993年至2026年,除了规定的地方。 Mindat.org全赖于全球数千个以上成员和支持者们的参与。
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.
隐私政策 - 条款和条款细则 - 联络我们 - Report a bug/vulnerability Current server date and time: 2026.6.4 09:44:58
Go to top of page