Omar Y. Al-Jarrah

According to our database, Omar Y. Al-Jarrah authored at least 13 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

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

2020

Design and Development of Industrial Cyber-Physical System Testbed.

Jakub Mozaryn, Andrzej W. Ordys, Adam Stec, Konrad Bogusz, Omar Y. Al-Jarrah, Carsten Maple

Proceedings of the Advanced, Contemporary Control - Proceedings of KKA 2020, 2020

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

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

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

Intrusion Detection Systems for Intra-Vehicle Networks: A Review.

Omar Y. Al-Jarrah, Carsten Maple, Mehrdad Dianati, David Oxtoby, Alex Mouzakitis

IEEE Access, 2019

Cooperative Object Classification for Driving Applications.

Eduardo Arnold, Omar Y. Al-Jarrah, Mehrdad Dianati, Saber Fallah, David Oxtoby, Alex Mouzakitis

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018

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

2017

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

2016

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

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

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

2014

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

Proceedings of the 34th International Conference on Distributed Computing Systems Workshops (ICDCS 2014 Workshops), Madrid, Spain, June 30, 2014