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Anas Toma
Observed names:
A. Toma,
Anas,
Toma, Anas,
Toma, Anas S. M.
Institution:
An-Najah National University
Observed institutions:
Karlsruhe Institute of Technology,
Jordan University of Science and Technology,
An-Najah National University,
TU Dortmund University,
Samsung (South Korea)
ORCID:
0000-0002-5254-5040
Observed ORCID:
0000-0002-5254-5040
OpenAlex ID:
A5078794002
Unsupervised dialectal neural machine translation
2020
·
Wael Farhan
, Bashar Talafha
, et al.
·
Information Processing & Management
·
43
Reliable code generation and execution on unreliable hardware under joint functional and timing reliability considerations
2013
·
S. Rehman
, A. Toma
, et al.
·
IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)
·
33
Cross-Layer Software Dependability on Unreliable Hardware
2015
·
Semeen Rehman
, Kuan-Hsun Chen
, et al.
·
IEEE Transactions on Computers
·
29
Computation Offloading by Using Timing Unreliable Components in Real-Time Systems
2014
·
Wei Liu
, Jian-Jia Chen
, et al.
·
ACM/IEEE Design Automation Conference (DAC)
·
26
A Cloud-Based Deep Learning Framework for Early Detection of Pushing at Crowded Event Entrances
2023
·
Ahmed Alia
, Mohammed Maree
, et al.
·
IEEE Access
·
23
PDF
Computation offloading for real-time systems
2013
·
Anas Toma
, Jian-Jia Chen
·
ACM Symposium on Applied Computing
·
20
Computation Offloading for Frame-Based Real-Time Tasks with Resource Reservation Servers
2013
·
Anas Toma
, Jian-Jia Chen
·
Euromicro Conference on Real-Time Systems (ECRTS)
·
18
An Efficient System for Automatic Blood Type Determination Based on Image Matching Techniques
2021
·
Nuha Odeh
, Anas Toma
, et al.
·
Applied Sciences
·
17
PDF
Nanoparticle Classification Using Frequency Domain Analysis on Resource-Limited Platforms
2019
·
Mikail Yayla
, Anas Toma
, et al.
·
Sensors
·
12
PDF
Real-time Low SNR Signal Processing for Nanoparticle Analysis with Deep Neural Networks
2018
·
Jan Eric Lenssen
, Anas Toma
, et al.
·
International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC)
·
12
Server resource reservations for computation offloading in real-time embedded systems
2013
·
Anas Toma
, Jian-Jia Chen
·
IEEE/ACM/IFIP Workshop on Embedded Systems for Real-Time Multimedia (ESTIMedia)
·
11
Adaptive Quality Optimization of Computer Vision Tasks in Resource-Constrained Devices using Edge Computing
2019
·
Anas Toma
, Juri Wenner
, et al.
·
IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)
·
10
Edge Computing Systems: Modeling and Resource Optimization for Augmented Reality and Soft Real-time Applications
2023
·
Anas Toma
, Sufyan Samara
, et al.
·
Journal of Network and Systems Management
·
5
An Energy-Efficient Middleware for Computation Offloading in Real-Time Embedded Systems
2016
·
Anas Toma
, Santiago Pagani
, et al.
·
IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)
·
5
Computation Offloading for Frame-Based Real-Time Tasks under Given Server Response Time Guarantees
2014
·
Toma, Anas S. M.
, Chen, Jian-Jia
·
Leibniz transactions on embedded systems
·
5
Covid-19 severity and urban factors: investigation and recommendations based on ma-chine learning techniques
2022
·
Saleh Qanazi
, Ihab Hijazi
, et al.
·
Palestinian medical and pharmaceutical journal/Palestinian medical & pharmaceutical journal
·
4
PDF
Computation offloading for sporadic real-time tasks
2014
·
Anas Toma
, Jian-Jia Chen
, et al.
·
IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)
·
4
An automatic intelligent system for diagnosis and confirmation of Johne's disease
2015
·
Inad Aljarrah
, Anas Toma
, et al.
·
International Journal of Intelligent Systems Technologies and Applications
·
3
Resource-Efficient Nanoparticle Classification Using Frequency Domain Analysis
2019
·
Mikail Yayla
, Anas Toma
, et al.
·
Informatik aktuell
·
1
Saving Energy for Cloud Applications in Mobile Devices Using Nearby Resources
2018
·
Anas Toma
, Alexander Starinow
, et al.
·
Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)
·
1
Machine learning-based throughput prediction for serial production lines
2026
·
Mosab Adwan
, Ramiz Assaf
, et al.
·
Journal of Intelligent Manufacturing
Quantum Machine Learning Potential in Cyber-Physical Systems: A Case Study in Manufacturing Lines
2026
·
Mosab Adwan
, Wiam Alali
, et al.
·
International Multi-Conference on Systems, Signals & Devices (SSD)
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Works count:
23
Citation count:
282
H-index:
11
I10-index:
12
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