The rapid expansion of the Internet of Medical Things (IoMT) has enhanced healthcare services, but it has also exposed these systems to a growing range of cyberattacks. Addressing this challenge requires effective intrusion detection solutions. Machine learning-based intrusion detection systems (IDSs) offer a promising...
Jehad M. Hamamreh, Aman M. Araf, Ahmad M. Jaradat et al.· Applied Informatics· 0 citations
This study is intended to serve as a structured reference for the development of scalable, trustworthy, and intelligent IoV systems by highlighting state-of-the-art techniques, open research gaps, and future directions.
Mohanad Alayedi, Ahmad M. Jaradat· Machine Learning and Knowled...· 0 citations
The results indicate that traditional ML models, especially random forest and extra trees, are still very effective for metric-based defect prediction, while DL and multi-modal approaches need to be fed with richer software artifacts to reach their full potential.
Amro Mohammad Abed Alfattah Abdin, Mohanad Alayedi, Ahmad M. Jaradat· Journal of Supercomputing· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.