default search action
Mahmoud Nazzal
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j15]Ali Hamdan Alenezi, Mahmoud Nazzal
, Ahmed Sawalmeh, Abdallah Khreishah
Machine learning regression-based RETRO-VLP for real-time and stabilized indoor positioning. Clust. Comput. 27(1): 299-311 (2024) - [j14]Conrado P. Vizcarra, Shadan Alhamed, Abdulelah Abdallah Algosaibi, Mohammed Alnaeem, Adel Aldalbahi, Nura Aljaafari
Deep learning adversarial attacks and defenses on license plate recognition system. Clust. Comput. 27(8): 11627-11644 (2024) - [j13]Nura Aljaafari
Investigating the Factors Impacting Adversarial Attack and Defense Performances in Federated Learning. IEEE Trans. Engineering Management 71: 12542-12555 (2024) - [c24]Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan, Yao Ma:
Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection. SP 2024: 1236-1254 - [i8]Mahmoud Nazzal, Deepak Vungarala, Mehrdad Morsali, Chao Zhang, Arnob Ghosh, Abdallah Khreishah, Shaahin Angizi:
A Dataset for Large Language Model-Driven AI Accelerator Generation. CoRR abs/2404.10875 (2024) - [i7]Khiem Ton, Nhi Nguyen, Mahmoud Nazzal, Abdallah Khreishah, Cristian Borcea, NhatHai Phan, Ruoming Jin, Issa Khalil, Yelong Shen:
Demo: SGCode: A Flexible Prompt-Optimizing System for Secure Generation of Code. CoRR abs/2409.07368 (2024) - [i6]Mahmoud Nazzal, Issa Khalil, Abdallah Khreishah, NhatHai Phan:
PromSec: Prompt Optimization for Secure Generation of Functional Source Code with Large Language Models (LLMs). CoRR abs/2409.12699 (2024) - 2023
- [j12]Mehmet Ali Aygül
Sparsifying Dictionary Learning for Beamspace Channel Representation and Estimation in Millimeter-Wave Massive MIMO. IEEE Access 11: 98436-98451 (2023) - [j11]Izzat Alsmadi
Adversarial NLP for Social Network Applications: Attacks, Defenses, and Research Directions. IEEE Trans. Comput. Soc. Syst. 10(6): 3089-3108 (2023) - [c23]Mahmoud Nazzal
Genetic Algorithm-Based Dynamic Backdoor Attack on Federated Learning-Based Network Traffic Classification. FMEC 2023: 204-209 - [c22]Mehrdad Morsali
IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge. ACM Great Lakes Symposium on VLSI 2023: 3-8 - [c21]Mehmet Ali Aygül, Mahmoud Nazzal
Estimating Multi-Dimensional Sparsity Level for Spectrum Sensing. WCNC 2023: 1-6 - [i5]Mahmoud Nazzal, Abdallah Khreishah, Joyoung Lee, Shaahin Angizi, Ala I. Al-Fuqaha, Mohsen Guizani:
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach. CoRR abs/2303.00524 (2023) - [i4]Mehrdad Morsali, Mahmoud Nazzal, Abdallah Khreishah, Shaahin Angizi:
IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge. CoRR abs/2303.14162 (2023) - [i3]Mahmoud Nazzal, Issa Khalil
Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection. CoRR abs/2308.11754 (2023) - [i2]Mahmoud Nazzal, Nura Aljaafari, Ahmad Sawalmeh, Abdallah Khreishah, Muhammad Anan, Abdulelah Abdallah Algosaibi, Mohammed Alnaeem, Adel Aldalbahi, Abdulaziz Alhumam, Conrado P. Vizcarra, Shadan Alhamed:
Genetic Algorithm-Based Dynamic Backdoor Attack on Federated Learning-Based Network Traffic Classification. CoRR abs/2310.06855 (2023) - 2022
- [j10]Izzat Alsmadi
Adversarial Machine Learning in Text Processing: A Literature Survey. IEEE Access 10: 17043-17077 (2022) - [j9]Sihua Shao
Self-Optimizing Data Offloading in Mobile Heterogeneous Radio-Optical Networks: A Deep Reinforcement Learning Approach. IEEE Netw. 36(2): 100-106 (2022) - [j8]Mehmet Ali Aygül
Using OMP and SD algorithms together in mm-Wave mMIMO channel estimation. Signal Image Video Process. 16(5): 1205-1213 (2022) - [c20]Mahmoud Nazzal
Estimation and Exploitation of Multidimensional Sparsity for MIMO-OFDM Channel Estimation. WCNC 2022: 980-985 - [c19]Mehmet Ali Aygül, Mahmoud Nazzal
Deep RL-Based Spectrum Occupancy Prediction Exploiting Time and Frequency Correlations. WCNC 2022: 2399-2404 - 2021
- [j7]Mehmet Ali Aygül
Efficient Spectrum Occupancy Prediction Exploiting Multidimensional Correlations through Composite 2D-LSTM Models. Sensors 21(1): 135 (2021) - [c18]Mahmoud Nazzal
Sparse Coding with Enhanced Atom Selection for FDD Massive MIMO Channel Estimation. VTC Fall 2021: 1-5 - [c17]Mehmet Ali Aygül
Deep Learning-Based Optimal RIS Interaction Exploiting Previously Sampled Channel Correlations. WCNC 2021: 1-6 - [i1]Izzat Alsmadi, Kashif Ahmad, Mahmoud Nazzal, Firoj Alam, Ala I. Al-Fuqaha, Abdallah Khreishah, Abdulelah Abdallah Algosaibi:
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions. CoRR abs/2110.13980 (2021) - 2020
- [j6]Haji M. Furqan
Primary user emulation and jamming attack detection in cognitive radio via sparse coding. EURASIP J. Wirel. Commun. Netw. 2020(1): 141 (2020) - [c16]Mehmet Ali Aygül
Deep Learning-Assisted Detection of PUE and Jamming Attacks in Cognitive Radio Systems. VTC Fall 2020: 1-5 - [c15]Mehmet Ali Aygül
Spectrum Occupancy Prediction Exploiting Time and Frequency Correlations Through 2D-LSTM. VTC Spring 2020: 1-5
2010 – 2019
- 2019
- [j5]Mahmoud Nazzal
Exploiting Sparsity Recovery for Compressive Spectrum Sensing: A Machine Learning Approach. IEEE Access 7: 126098-126110 (2019) - [c14]Mahmoud Nazzal
Dictionary Learning-Based Beamspace Channel Estimation in Millimeter-Wave Massive MIMO Systems with a Lens Antenna Array. IWCMC 2019: 20-25 - [c13]Mahmoud Nazzal
Compressed Spectrum Sensing Using Sparse Recovery Convergence Patterns through Machine Learning Classification. PIMRC 2019: 1-6 - [c12]Mahmoud Nazzal
Sparse Coding for Transform Domain-Based Sparse OFDM Channel Estimation. SIU 2019: 1-4 - 2018
- [c11]Mahmoud Nazzal
FDD Massive MIMO Downlink Channel Estimation via Selective Sparse Coding over AoA/AoD Cluster Dictionaries. PIMRC 2018: 1-5 - 2016
- [j4]Faezeh Yeganli, Mahmoud Nazzal
Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness. Signal Image Video Process. 10(3): 535-542 (2016) - [c10]Mahmoud Nazzal
Improved dictionary learning by constrained re-training over residual components. SIU 2016: 833-836 - [c9]Faezeh Yeganli, Mahmoud Nazzal
Super-resolution using multiple structured dictionaries based on the gradient operator and bicubic interpolation. SIU 2016: 941-944 - 2015
- [j3]Mahmoud Nazzal
Wavelet domain dictionary learning-based single image superresolution. Signal Image Video Process. 9(7): 1491-1501 (2015) - [j2]Faezeh Yeganli, Mahmoud Nazzal
Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness and gradient phase angle. Signal Image Video Process. 9(Supplement-1): 285-293 (2015) - [j1]Mahmoud Nazzal
A Strategy for Residual Component-Based Multiple Structured Dictionary Learning. IEEE Signal Process. Lett. 22(11): 2059-2063 (2015) - [c8]Mahmoud Nazzal
Directionally-structured dictionary learning and sparse representation based on subspace projections. SIU 2015: 1606-1610 - [c7]Faezeh Yeganli, Mahmoud Nazzal
Selective super-resolution via sparse representations of sharp image patches using multiple dictionaries and bicubic interpolation. SIU 2015: 1957-1960 - 2014
- [c6]Faezeh Yeganli, Mahmoud Nazzal
Image Super-Resolution via Sparse Representation over Coupled Dictionary Learning Based on Patch Sharpness. EMS 2014: 203-208 - [c5]Mahmoud Nazzal
Single Image Super-Resolution via Sparse Representation over Directionally Structured Dictionaries Based on the Patch Gradient Phase Angle. EMS 2014: 209-214 - [c4]Mahmoud Nazzal
Variable patch size sparse representation over learned dictionaries. SIU 2014: 1367-1370 - [c3]Fahime Farhadifard, Elham Abar, Mahmoud Nazzal
Single image super resolution based on sparse representation via directionally structured dictionaries. SIU 2014: 1718-1721 - 2013
- [c2]Mahmoud Nazzal
Improved single image super-resolution using sparsity and structured dictionary learning in wavelet domain. SIU 2013: 1-4 - 2012
- [c1]Mahmoud Nazzal
Single image superresolution using sparsity and dictionary learning in wavelet domain. SIU 2012: 1-4
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-18 19:32 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: