Vote for your favorite mineral in #MinCup25! - Calcite vs. Perovskite
This match of heavy hitters is bound to end in heartbreak as classic calcite faces off against futuristic perovskite.
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

Yang, Fan, Zhong, Yongjie, Yang, Hui, Wan, Yi, Hu, Zhuhua, Peng, Shengsen (2023) Microbial Colony Detection Based on Deep Learning. Applied Sciences, 13 (19) 10568 doi:10.3390/app131910568

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleMicrobial Colony Detection Based on Deep Learning
JournalApplied Sciences
AuthorsYang, FanAuthor
Zhong, YongjieAuthor
Yang, HuiAuthor
Wan, YiAuthor
Hu, ZhuhuaAuthor
Peng, ShengsenAuthor
Year2023 (September 22)Volume13
Issue19
PublisherMDPI AG
DOIdoi:10.3390/app131910568Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID16857972Long-form Identifiermindat:1:5:16857972:5
GUID0
Full ReferenceYang, Fan, Zhong, Yongjie, Yang, Hui, Wan, Yi, Hu, Zhuhua, Peng, Shengsen (2023) Microbial Colony Detection Based on Deep Learning. Applied Sciences, 13 (19) 10568 doi:10.3390/app131910568
Plain TextYang, Fan, Zhong, Yongjie, Yang, Hui, Wan, Yi, Hu, Zhuhua, Peng, Shengsen (2023) Microbial Colony Detection Based on Deep Learning. Applied Sciences, 13 (19) 10568 doi:10.3390/app131910568
In(2023, September) Applied Sciences Vol. 13 (19) MDPI AG

See Also

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

Han, Xianquan, Chen, Xijiang, Deng, Hui, Wan, Peng, Li, Jianzhou (2023) Point Cloud Deep Learning Network Based on Local Domain Multi-Level Feature. Applied Sciences, 13 (19) 10804 doi:10.3390/app131910804
Zhong, Yongjie, Lai, Zhuoyuan, He, Changhua, Peng, Shengsen, Guo, Tianci, Yang, Hui, Yang, Fan, Shen, Yi, Huang, Zhengliang, Fu, Zhaoyong, et al. (2025) Real-time microbial growth curve (RMGC) system: an improved microplate reader with a graphical interface for automatic and high-throughput monitoring of microbial growth curves. The Analyst, 150 (7). doi:10.1039/d4an01339e
Peng, Youju, Xu, Yang, Shi, Jin, Jiang, Shiyi (2023) Wild Mushroom Classification Based on Improved MobileViT Deep Learning. Applied Sciences, 13 (8) 4680 doi:10.3390/app13084680
Huang, Tianrui, Gao, Yang, Li, Zhenglin, Hu, Yue, Xuan, Fuzhen (2023) A Hybrid Deep Learning Framework Based on Diffusion Model and Deep Residual Neural Network for Defect Detection in Composite Plates. Applied Sciences, 13 (10) 5843 doi:10.3390/app13105843
Ma, Jitong, Hu, Mutian, Yang, Zhengyan, Yang, Hongjuan, Ma, Shuyi, Xu, Hao, Yang, Lei, Wu, Zhanjun (2023) An Efficient Lightweight Deep-Learning Approach for Guided Lamb Wave-Based Damage Detection in Composite Structures. Applied Sciences, 13 (8) 5022 doi:10.3390/app13085022
Tan, Xu, Hou, Shiying, Yang, Fan, Li, Zhimin (2025) Transmission Lines Insulator State Detection Method Based on Deep Learning. Applied Sciences, 15 (2). doi:10.3390/app15020526
Fan, Li, Zou, Jiancheng (2023) A Novel Road Crack Detection Technology Based on Deep Dictionary Learning and Encoding Networks. Applied Sciences, 13 (22) 12299 doi:10.3390/app132212299
Xu, Peng, Sun, Qingyun (2023) Virtual Reality Collision Detection Based on Improved Ant Colony Algorithm. Applied Sciences, 13 (11) 6366 doi:10.3390/app13116366
Noor, Basirah, Qadir, Sana (2023) Machine Learning and Deep Learning Based Model for the Detection of Rootkits Using Memory Analysis. Applied Sciences, 13 (19) 10730 doi:10.3390/app131910730
Ng, Hui R., Zhong, Xin, Nam, Yunwoo, Youn, Jong-Hoon (2023) Deep-Learning-Based Approach for Automated Detection of Irregular Walking Surfaces for Walkability Assessment with Wearable Sensor. Applied Sciences, 13 (24) 13053 doi:10.3390/app132413053
Li, Chengcheng, Li, Fei, Zhang, Liyan, Yang, Aimin, Hu, Zhibin, He, Ming (2023) Intrusion Detection for Industrial Control Systems Based on Improved Contrastive Learning SimCLR. Applied Sciences, 13 (16) 9227 doi:10.3390/app13169227
 
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 4, 2025 06:52:22
Go to top of page