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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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Proceedings ArticleDOI
Using Bidirectional Long Short-Term Memory and Conditional Random Fields for Labeling Arabic Named Entities: A Comparative Study
TL;DR: Two approaches that were developed for Arabic named entity recognition (ANER) are presented, based on a traditional machine learning method of using the conditional random fields (CRF) trained with predefined set of syntactic and morphological features and a bidirectional long short-term memory layer (Bi-LSTM-CRF).
Proceedings ArticleDOI
Fine-Grained Emotion Analysis of Arabic Tweets: A Multi-target Multi-label Approach
TL;DR: This work builds the first dataset (to the best of the knowledge) of Arabic tweets annotated for emotion analysis as a multi-label multi-target problem and focuses on the Arabic language, a severely under-studied language despite its importance.
Journal ArticleDOI
AMCC: Ad-hoc based Mobile Cloud Computing Modeling
TL;DR: A new ad-hoc model for mobile based cloud computing is proposed based on the cloudlet approach using the Destination-Sequenced Distance-Vector for routing protocol and Random Way Point for mobility mechanism to reduce the end-to-end packet delay, better system scalability and mobility management.
Journal ArticleDOI
SIFT based ROI extraction for lumbar disk herniation CAD system from MRI axial scans
Mahmoud Al-Ayyoub,Nusaiba Al-Mnayyis,Mohammad A. Alsmirat,Khaled Alawneh,Yaser Jararweh,Brij B. Gupta +5 more
TL;DR: This work enhances on the ROI extraction process by using SIFT features, which are well known for their use in matching objects, and shows its superiority over existing heuristic approach.
Posted Content
An Incentive-Based Mechanism for Volunteer Computing using Blockchain
TL;DR: In this paper, a blockchain-enabled resource sharing and service composition solution through volunteer computing is introduced, which can achieve high reward distribution, increased number of blockchain formations, reduced delays, and balanced resource usage among participants under the premise of high IoT device availability.