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Mahmoud Nazzal
Mahmoud Nazzal
Verified email at njit.edu
Title
Cited by
Cited by
Year
Wavelet domain dictionary learning-based single image superresolution
M Nazzal, H Ozkaramanli
Signal, Image and Video Processing 9 (7), 1491-1501, 2015
402015
Primary user emulation and jamming attack detection in cognitive radio via sparse coding
HM Furqan, MA Aygül, M Nazzal, H Arslan
EURASIP Journal on Wireless Communications and Networking 2020 (1), 141, 2020
362020
Adversarial attacks and defenses for social network text processing applications: Techniques, challenges and future research directions
I Alsmadi, K Ahmad, M Nazzal, F Alam, A Al-Fuqaha, A Khreishah, ...
arXiv preprint arXiv:2110.13980, 2021
312021
Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness
F Yeganli, M Nazzal, M Unal, H Ozkaramanli
Signal, Image and Video Processing 10 (3), 535-542, 2016
282016
Adversarial machine learning in text processing: a literature survey
I Alsmadi, N Aljaafari, M Nazzal, S Alhamed, AH Sawalmeh, CP Vizcarra, ...
IEEE Access 10, 17043-17077, 2022
272022
Spectrum Occupancy Prediction Exploiting Time and Frequency Correlations Through 2D-LSTM
MA Aygül, M Nazzal, AR Ekti, A Görçin, DB da Costa, HF Ateş, H Arslan
2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 1-5, 2020
252020
Deep learning-based optimal RIS interaction exploiting previously sampled channel correlations
MA Aygül, M Nazzal, H Arslan
2021 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2021
232021
Adversarial nlp for social network applications: Attacks, defenses, and research directions
I Alsmadi, K Ahmad, M Nazzal, F Alam, A Al-Fuqaha, A Khreishah, ...
IEEE Transactions on Computational Social Systems 10 (6), 3089-3108, 2022
222022
Efficient spectrum occupancy prediction exploiting multidimensional correlations through composite 2D-LSTM models
MA Aygül, M Nazzal, Mİ Sağlam, DB da Costa, HF Ateş, H Arslan
Sensors 21 (1), 135, 2020
222020
Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness and gradient phase angle
F Yeganli, M Nazzal, H Ozkaramanli
Signal, Image and Video Processing 9 (1), 285-293, 2015
172015
Single image super resolution based on sparse representation via directionally structured dictionaries
F Farhadifard, E Abar, M Nazzal, H Ozkaramanh
2014 22nd Signal Processing and Communications Applications Conference (SIU …, 2014
152014
Exploiting sparsity recovery for compressive spectrum sensing: A machine learning approach
M Nazzal, AR Ektí, A Görçin, H Arslan
IEEE Access 7, 126098-126110, 2019
142019
Image super-resolution via sparse representation over coupled dictionary learning based on patch sharpness
F Yeganli, M Nazzal, M Unal, H Ozkaramanli
2014 European Modelling Symposium, 203-208, 2014
142014
Dictionary Learning-Based Beamspace Channel Estimation in Millimeter-Wave Massive MIMO Systems with a Lens Antenna Array
M Nazzal, MA Aygül, A Görçin, H Arslan
2019 15th International Wireless Communications & Mobile Computing …, 2019
132019
Super-resolution using multiple structured dictionaries based on the gradient operator and bicubic interpolation
F Yeganli, M Nazzal, H Ozkaramanli
2016 24th Signal Processing and Communication Application Conference (SIU …, 2016
112016
Super-resolution using multiple structured dictionaries based on the gradient operator and bicubic interpolation
F Yeganli, M Nazzal, H Ozkaramanli
2016 24th Signal Processing and Communication Application Conference (SIU …, 2016
112016
Selective super-resolution via sparse representations of sharp image patches using multiple dictionaries and bicubic interpolation
F Yeganli, M Nazzal, H Ozkaramanli
2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015
102015
Deep learning-assisted detection of PUE and jamming attacks in cognitive radio systems
MA Aygül, HM Furqan, M Nazzal, H Arslan
2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), 1-5, 2020
92020
Semi-decentralized inference in heterogeneous graph neural networks for traffic demand forecasting: An edge-computing approach
M Nazzal, A Khreishah, J Lee, S Angizi, A Al-Fuqaha, M Guizani
IEEE Transactions on Vehicular Technology, 2024
82024
Learning-Based Spectrum Occupancy Prediction Exploiting Multi-Dimensional Correlation
MA Aygül, M Nazzal, H Arslan
US Patent App. 18/249,789, 2023
72023
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Articles 1–20