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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.
Papers
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Journal ArticleDOI
An intelligent edge-enabled distributed multi-task learning architecture for large-scale IoT-based cyber-physical systems
TL;DR: In this paper , the authors proposed a novel edge computing architecture that employs the concept of distributed multi-task learning over EC networks in large-scale IoT-based cyber-physical systems.
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GDBApex: A graph‐based system to enable efficient transformation of enterprise infrastructures
TL;DR: The proposed graph‐based modeling approach uses a graph structure for semantic queries and applies software engineering design principles and outperformed relational database management systems by an order of magnitude.
Reinforcement Learning-Based Security/Safety UAV System for Intrusion Detection Under Dynamic and Uncertain Target Movement
TL;DR: An RL-based algorithm is implemented to solve the reformulated benefit maximization problem by enabling the UAV to autonomously learn the dynamics of the intruder/target.
Journal ArticleDOI
28 Nanometers FPGAs Support for High Throughput and Low Power Cryptographic Applications
TL;DR: This paper evaluates the new 28 nm FPGAs technology and its impact in eight of the major cryptographic algorithms available today such as SHA2, SHA3, and AES and revealed that using the 28 nmFPGAs reduced the power consumption to more than 50% and increase the throughput up to 100% compared to the older FPGs technologies.
Proceedings ArticleDOI
Towards improving channel switching in cognitive radio networks
TL;DR: This work proposes a new channel switching scheme for CRNs that takes into account both the future location of the SU and predictions about the channel availability while making the channel switching decision with the objective of reducing both the number of unnecessary switches and thenumber of disconnections.