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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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Proceedings ArticleDOI
A GPU-based breast cancer detection system using Single Pass Fuzzy C-Means clustering algorithm
TL;DR: This research introduces an acceleration method for the segmentation of the mammography images based on the GPU using a modified version of the most common algorithm for image segmentation, which is the Single Pass Fuzzy C-Means (FCM) algorithm.
Journal ArticleDOI
Cooperative mobile edge computing system for VANET-based software-defined content delivery
Jafar Albadarneh,Yaser Jararweh,Mahmoud Al-Ayyoub,Ramon dos Reis Fontes,Mohammad AL-Smadi,Christian Esteve Rothenberg +5 more
TL;DR: A Vehicular Adhoc Network (VANET)-based Software-Defined Edge Computing infrastructure supporting content delivery services among connected vehicles and can enable the delivery of more competitive services with reduced-latency by utilizing cooperative MEC search strategy for vehicle to infrastructure (V2I) communications.
Proceedings ArticleDOI
Integration of renewable energy in demand-side management for home appliances
TL;DR: The proposed mechanism aims to minimize smart home electricity cost by maximizing the usage of renewable energy and minimizes total electricity cost and maximizes the used renewable energy to be 65% of the total generated renewable energy.
Journal ArticleDOI
Enabling Intelligent IoCV Services at the Edge for 5G Networks and Beyond
TL;DR: This article addresses computational, storage, connectivity and intelligence concerns using a collaborative approach to engage multiple Internet of Things nodes such as connected- vehicles, drones and mobile devices for the provisioning of QoS-optimal complex service compositions in autonomous mobile networks.
Proceedings ArticleDOI
Congestion Mitigation in Densely Crowded Environments for Augmenting QoS in Vehicular Clouds
TL;DR: A framework of Vehicular Clouds being restricted to individual slices in 5G cellular networks is proposed, a queuing strategy for congestion control in a densely crowded environment such as parking lots is designed, and a resource allocation algorithm that enables maximum matching between the tasks to be executed and the candidate slices is developed.