M. Nazzal

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Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions pdf

Firoj Alam, Izzat Alsmadi, Kashif Ahmad, 2021, ArXiv.

Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness and gradient phase angle

H. Ozkaramanli, M. Nazzal, F. Yeganli, 2015, Signal, Image and Video Processing.

Super-resolution using multiple structured dictionaries based on the gradient operator and bicubic interpolation

Mahmoud Nazzal, Hüseyin Özkaramanli, Faezeh Yeganli, 2016, 2016 24th Signal Processing and Communication Application Conference (SIU).

Single Image Super-Resolution via Sparse Representation over Directionally Structured Dictionaries Based on the Patch Gradient Phase Angle

Mahmoud Nazzal, Hüseyin Özkaramanli, Faezeh Yeganli, 2014, 2014 European Modelling Symposium.

Wavelet domain dictionary learning-based single image superresolution

Mahmoud Nazzal, Hüseyin Özkaramanli, Hüseyin Özkaramanli, 2015, Signal Image Video Process..

Wavelet domain dictionary learning-based single image superresolution

H. Ozkaramanli, M. Nazzal, 2014, Signal, Image and Video Processing.

Sparse Coding for Transform Domain-Based Sparse OFDM Channel Estimation

Hüseyin Arslan, Ali Görçin, Mehmet Ali Aygül, 2019, 2019 27th Signal Processing and Communications Applications Conference (SIU).

Efficient Spectrum Occupancy Prediction Exploiting Multidimensional Correlations through Composite 2D-LSTM Models †

Daniel Benevides da Costa, Hüseyin Arslan, Mahmoud Nazzal, 2020, Sensors.

Efficient Spectrum Occupancy Prediction Exploiting Multidimensional Correlations through Composite 2D-LSTM Models †

Daniel Benevides da Costa, Huseyin Arslan, Mahmoud Nazzal, 2020, Sensors.

Estimating Sparsity Level for Enabling Compressive Sensing of Wireless Channels and Spectra in 5G and Beyond

Huseyin Arslan, Mahmoud Nazzal, Mehmet Ali Aygul, 2020, 2012.10082.

Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness and gradient phase angle

Hüseyin Özkaramanli, Mahmoud Nazzal, Faezeh Yeganli, 2015, Signal Image Video Process..

Dictionary Learning-Based Beamspace Channel Estimation in Millimeter-Wave Massive MIMO Systems with a Lens Antenna Array

Hüseyin Arslan, Mahmoud Nazzal, Ali Görçin, 2019, 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC).

Deep Learning-Based Optimal RIS Interaction Exploiting Previously Sampled Channel Correlations

Huseyin Arslan, Mahmoud Nazzal, Mehmet Ali Aygul, 2020, 2021 IEEE Wireless Communications and Networking Conference (WCNC).

Adversarial Machine Learning in Text Processing: A Literature Survey

Conrado P. Vizcarra, Ahmad H. Sawalmeh, A. Khreishah, 2022, IEEE Access.

Deep Learning-Assisted Detection of PUE and Jamming Attacks in Cognitive Radio Systems

H. Arslan, H. M. Furqan, M. Nazzal, 2020, 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall).

Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach

Joyoung Lee, Ala Al-Fuqaha, M. Guizani, 2023, IEEE Transactions on Vehicular Technology.

Improved single image super-resolution using sparsity and structured dictionary learning in wavelet domain

Mahmoud Nazzal, Hüseyin Özkaramanli, Hüseyin Özkaramanli, 2013, 2013 21st Signal Processing and Communications Applications Conference (SIU).

Compressed Spectrum Sensing Using Sparse Recovery Convergence Patterns through Machine Learning Classification

Hüseyin Arslan, Mahmoud Nazzal, Ali Rıza Ekti, 2019, 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).

Single image super resolution based on sparse representation via directionally structured dictionaries

Mahmoud Nazzal, Fahime Farhadifard, Elham Abar, 2014, 2014 22nd Signal Processing and Communications Applications Conference (SIU).

Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness

Mahmoud Nazzal, Hüseyin Özkaramanli, Faezeh Yeganli, 2016, Signal Image Video Process..

Exploiting Sparsity Recovery for Compressive Spectrum Sensing: A Machine Learning Approach

Mahmoud Nazzal, Alí Riza Ektí, Alí Görçín, 2019, IEEE Access.

Using OMP and SD algorithms together in mm-Wave mMIMO channel estimation

H. Arslan, M. Nazzal, M. A. Aygül, 2022, Signal, Image and Video Processing.

Sparsifying Dictionary Learning for Beamspace Channel Representation and Estimation in Millimeter-Wave Massive MIMO

Mehmet Ali Aygul, H. Arslan, Mahmoud Nazzal, 2020, 2007.12680.

Adversarial NLP for Social Network Applications: Attacks, Defenses, and Research Directions

Ala I. Al-Fuqaha, Kashif Ahmad, I. Alsmadi, 2023, IEEE Transactions on Computational Social Systems.

Variable patch size sparse representation over learned dictionaries

Mahmoud Nazzal, Hüseyin Özkaramanli, Hüseyin Özkaramanli, 2014, 2014 22nd Signal Processing and Communications Applications Conference (SIU).

Primary user emulation and jamming attack detection in cognitive radio via sparse coding

Hüseyin Arslan, Haji M. Furqan, Mahmoud Nazzal, 2020, EURASIP Journal on Wireless Communications and Networking.

Estimating Multi-Dimensional Sparsity Level for Spectrum Sensing

H. Arslan, M. Nazzal, M. A. Aygül, 2023, 2023 IEEE Wireless Communications and Networking Conference (WCNC).

Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection

Issa M. Khalil, Nhathai Phan, M. Nazzal, 2023, ArXiv.