Vote for your favorite mineral in #MinCup25! - Carpathite vs. Leucite
Brace for oddness in a match between one of the very few hydrocarbon minerals carpathite and the temperature-flipping mineral leucite.
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

Ullah, Zahid, Jamjoom, Mona (2023) A smart secured framework for detecting and averting online recruitment fraud using ensemble machine learning techniques. PeerJ Computer Science, 9. doi:10.7717/peerj-cs.1234

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleA smart secured framework for detecting and averting online recruitment fraud using ensemble machine learning techniques
JournalPeerJ Computer Science
AuthorsUllah, ZahidAuthor
Jamjoom, MonaAuthor
Year2023 (February 8)Volume9
PublisherPeerJ
DOIdoi:10.7717/peerj-cs.1234Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15703835Long-form Identifiermindat:1:5:15703835:6
GUID0
Full ReferenceUllah, Zahid, Jamjoom, Mona (2023) A smart secured framework for detecting and averting online recruitment fraud using ensemble machine learning techniques. PeerJ Computer Science, 9. doi:10.7717/peerj-cs.1234
Plain TextUllah, Zahid, Jamjoom, Mona (2023) A smart secured framework for detecting and averting online recruitment fraud using ensemble machine learning techniques. PeerJ Computer Science, 9. doi:10.7717/peerj-cs.1234
In(2023) PeerJ Computer Science Vol. 9. PeerJ

See Also

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

Ullah, Zahid, Jamjoom, Mona (2022) An intelligent approach for Arabic handwritten letter recognition using convolutional neural network. PeerJ Computer Science, 8. doi:10.7717/peerj-cs.995
Rabbani, Hasnain, Shahid, Muhammad Farrukh, Khanzada, Tariq Jamil Saifullah, Siddiqui, Shahbaz, Jamjoom, Mona Mamdouh, Ashari, Rehab Bahaaddin, Ullah, Zahid, Mukati, Muhammad Umair, Nooruddin, Mustafa (2024) Enhancing security in financial transactions: a novel blockchain-based federated learning framework for detecting counterfeit data in fintech. PeerJ Computer Science, 10. doi:10.7717/peerj-cs.2280
Gu, Zhexian, Dib, Omar (2025) Enhancing fraud detection in the Ethereum blockchain using ensemble learning. PeerJ Computer Science, 11. doi:10.7717/peerj-cs.2716
Gurcan, Fatih (2024) Forecasting CO2 emissions of fuel vehicles for an ecological world using ensemble learning, machine learning, and deep learning models. PeerJ Computer Science, 10. doi:10.7717/peerj-cs.2234
Sandouka, Rana, Aljamaan, Hamoud (2023) Python code smells detection using conventional machine learning models. PeerJ Computer Science, 9. doi:10.7717/peerj-cs.1370
Masood, Muhammad Yasir, Aurangzeb, Sana, Aleem, Muhammad, Chilwan, Ameen, Awais, Muhammad (2024) Demand-side load forecasting in smart grids using machine learning techniques. PeerJ Computer Science, 10. doi:10.7717/peerj-cs.1987
Gupta, Ankita, Kaur, Lakhwinder, Kaur, Gurmeet (2023) Drought stress detection technique for wheat crop using machine learning. PeerJ Computer Science, 9. doi:10.7717/peerj-cs.1268
Kumar, Arun, Rana, Prashant Singh (2023) A deep learning based ensemble approach for protein allergen classification. PeerJ Computer Science, 9. doi:10.7717/peerj-cs.1622
BuyrukoÄŸlu, Gonca (2024) Survival analysis in breast cancer: evaluating ensemble learning techniques for prediction. PeerJ Computer Science, 10. doi:10.7717/peerj-cs.2147
Malik, Muhammad Shahid Iqbal, Imran, Tahir, Mona Mamdouh, Jamjoom (2023) How to detect propaganda from social media? Exploitation of semantic and fine-tuned language models. PeerJ Computer Science, 9. doi:10.7717/peerj-cs.1248
Feng, Yituo, Park, Jungryeol (2023) Using machine learning-based binary classifiers for predicting organizational members’ user satisfaction with collaboration software. PeerJ Computer Science, 9. PeerJ. doi:10.7717/peerj-cs.1481
 
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 © 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 6, 2025 02:10:23
Go to top of page