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Yaser Jararweh
Researcher at Jordan University of Science and Technology
Publications - 324
Citations - 8851
Yaser Jararweh is an academic researcher from Jordan University of Science and Technology. The author has contributed to research in topics: Cloud computing & Computer science. The author has an hindex of 44, co-authored 297 publications receiving 6045 citations. Previous affiliations of Yaser Jararweh include University of Arizona & Pennsylvania State University.
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Cooperative weighted-fair control strategy for spectrum self-coexistence in multi-cell WRAN systems
TL;DR: An adaptive traffic-aware exclusive channel allocation scheme based on a cooperative max-min weighted fair allocation strategy that effectively exploits the available spectrum opportunities by increasing the total number of served SU transmissions, which consequently results in a significant enhancement in the overall WRAN system performance.
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Leveraging Linked Open Data to Automatically Answer Arabic Questions
TL;DR: A hybrid approach that evaluates the effectiveness of using LOD to automatically answer Arabic questions is developed to map users’ questions in Modern Standard Arabic, to a standard query language for LOD.
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Federated reinforcement learning approach for detecting uncertain deceptive target using autonomous dual UAV system
TL;DR: In this article , a cooperative federated reinforcement learning (RL) strategy that enables two unmanned aerial vehicles (UAVs) to cooperate in learning and predicting the movements of an intelligent deceptive target in a given search area is developed.
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GPU Scaling: From Personal Supercomputing to the Cloud
TL;DR: The authors investigate different platforms of GPU-based systems, starting from the Personal Supercomputing PSC to cloud-based GPU systems and presents a comparison discussion against the conventional high performance cluster-based computing systems.
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Multicast Optimization for CLOS Fabric in Media Data Centers
Ammar Latif,Pradeep Kathail,Sachin Vijay Vishwarupe,Subha Dhesikan,Abdallah Khreishah,Yaser Jararweh +5 more
TL;DR: This paper designs and implements two novel algorithms, iRP and LiRP, to optimize multicast tree formation and increase overall fabric multicast capacity and testing results confirm that iRP Algorithm increases fabric capacity by 60% compared to PIM performance.