Machine-Learning-Based Feature Selection Techniques for Large-Scale Network Intrusion Detection. - O. Y. Al-Jarrah; Amna Siddiqui; M. Elsalamouny; Paul D. Yoo; Sami Muhaidat; Kwangjo Kim (ICDCS Workshops, 2014)

Efficient Machine Learning for Big Data: A Review. - Omar Y. Al-Jarrah; Paul D. Yoo; Sami Muhaidat; George K. Karagiannidis; Kamal Taha (Big Data Res., 2015)

Randomized Subspace Learning for Proline Cis-Trans Isomerization Prediction. - Omar Y. Al-Jarrah; Paul D. Yoo; Kamal Taha; Sami Muhaidat; Abdallah Shami; Nazar Zaki (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Data Randomization and Cluster-Based Partitioning for Botnet Intrusion Detection. - Omar Y. Al-Jarrah; Omar Alhussein; Paul D. Yoo; Sami Muhaidat; Kamal Taha; Kwangjo Kim (IEEE Trans. Cybern., 2016)

Multi-Layered Clustering for Power Consumption Profiling in Smart Grids. - Omar Y. Al-Jarrah; Yousof Al-Hammadi; Paul D. Yoo; Sami Muhaidat (IEEE Access, 2017)

Semi-supervised multi-layered clustering model for intrusion detection. - Omar Y. Al-Jarrah; Yousof Al-Hammadi; Paul D. Yoo; Sami Muhaidat; Mahmoud Al-Qutayri (Digit. Commun. Networks, 2018)

Cooperative Object Classification for Driving Applications. - Eduardo Arnold; Omar Y. Al-Jarrah; Mehrdad Dianati; Saber Fallah; David Oxtoby; Alex Mouzakitis (IV, 2019)

Intrusion Detection Systems for Intra-Vehicle Networks: A Review. - Omar Y. Al-Jarrah; Carsten Maple; Mehrdad Dianati; David Oxtoby; Alex Mouzakitis (IEEE Access, 2019)

Popularity-Based Video Caching Techniques for Cache-Enabled Networks: A Survey. - Huda S. Goian; Omar Y. Al-Jarrah; Sami Muhaidat; Yousof Al-Hammadi; Paul D. Yoo; Mehrdad Dianati (IEEE Access, 2019)

Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review. - Sajjad Mozaffari; Omar Y. Al-Jarrah; Mehrdad Dianati; Paul A. Jennings; Alexandros Mouzakitis (CoRR, 2019)

A Survey on 3D Object Detection Methods for Autonomous Driving Applications. - Eduardo Arnold; Omar Y. Al-Jarrah; Mehrdad Dianati; Saber Fallah; David Oxtoby; Alex Mouzakitis (IEEE Trans. Intell. Transp. Syst., 2019)

Design and Development of Industrial Cyber-Physical System Testbed. - Jakub Mozaryn; Andrzej W. Ordys; Adam Stec; Konrad Bogusz; Omar Y. Al-Jarrah; Carsten Maple (KKA, 2020)

Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review. - Sajjad Mozaffari; Omar Y. Al-Jarrah; Mehrdad Dianati; Paul A. Jennings; Alexandros Mouzakitis (IEEE Trans. Intell. Transp. Syst., 2022)

Securing Industrial Operational Technology Networks: A Cybersecurity Management Approach and Testbed Evaluation. - Jakub Mozaryn; Sebastian Juszczynski; Omar Y. Al-Jarrah (MIDI, 2023)

Exploring Deep Learning-Based Visual Localization Techniques for UAVs in GPS-Denied Environments. - Omar Y. Al-Jarrah; Ahmed S. Shatnawi; Mohammad M. Shurman 001; Omar A. Ramadan; Sami Muhaidat (IEEE Access, 2024)

Wi-Fi Signals for Passive Human Identification: A Study of Three Activities. - Baha' A. Alsaify; Mahmoud M. Almazari; Rami Alazrai; Omar Y. Al-Jarrah; Walid Al Zibideh (IEEE Access, 2024)

Machine learning approaches to intrusion detection in unmanned aerial vehicles (UAVs). - Raghad A. AL-Syouf; Raed M. Bani-Hani; Omar Y. Al-Jarrah (Neural Comput. Appl., 2024)