Budoen, A. , Zhang, M. and Jr., L. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, 1-22. doi: ...

Abstract: Machine learning (ML) is ever more frequently used as a tool to ... In this article we propose the use of binary decision diagrams (BDDs) as an interpretable ML model. BDDs can be deemed as ...

Computer vision systems combined with machine learning ... tomato quality classification. Performance metrics including accuracy (0.836), precision (0.833), recall (1.0), and F1-score (0.909) indicate ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Jefferson Lab scientists have wrapped up three research projects that demonstrate ways in which artificial intelligence (AI) and machine learning (ML) could be used to make SRF particle ...

Results Four classification trees (prognostic pathways or decision ... pain self-efficacy differed according to baseline pain and disability. In the QuickDASH tree, the association between moderate ...

Machine learning algorithms can be applied to recorded S-parameters in order to classify the stage of Alzheimer's disease in the brain. •The research presented in this work targets research in ...

Various deep learning and computer vision techniques can be used to determine the virus which causes pneumonia using Chest X-ray images. These days, it is possible to use Convolutional Neural Networks ...

The student body at the schools served by Appletree Early Learning PCS is 9.2% white, 79.6% Black, 1.2% Asian or Asian/Pacific Islander, 8.4% Hispanic/Latino, 0.8% American Indian or Alaska Native ...