Mahmoud Nazzal
Orcid: 0000-0003-3375-0310
According to our database1,
Mahmoud Nazzal
authored at least 38 papers
between 2012 and 2023.
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Bibliography
2023
Adversarial NLP for Social Network Applications: Attacks, Defenses, and Research Directions.
IEEE Trans. Comput. Soc. Syst., December, 2023
CoRR, 2023
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach.
CoRR, 2023
Sparsifying Dictionary Learning for Beamspace Channel Representation and Estimation in Millimeter-Wave Massive MIMO.
IEEE Access, 2023
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023
IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge.
Proceedings of the Great Lakes Symposium on VLSI 2023, 2023
Genetic Algorithm-Based Dynamic Backdoor Attack on Federated Learning-Based Network Traffic Classification.
Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023
2022
Signal Image Video Process., 2022
Self-Optimizing Data Offloading in Mobile Heterogeneous Radio-Optical Networks: A Deep Reinforcement Learning Approach.
IEEE Netw., 2022
IEEE Access, 2022
Estimation and Exploitation of Multidimensional Sparsity for MIMO-OFDM Channel Estimation.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
Deep RL-Based Spectrum Occupancy Prediction Exploiting Time and Frequency Correlations.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
2021
Efficient Spectrum Occupancy Prediction Exploiting Multidimensional Correlations through Composite 2D-LSTM Models.
Sensors, 2021
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions.
CoRR, 2021
Deep Learning-Based Optimal RIS Interaction Exploiting Previously Sampled Channel Correlations.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021
2020
Primary user emulation and jamming attack detection in cognitive radio via sparse coding.
EURASIP J. Wirel. Commun. Netw., 2020
Spectrum Occupancy Prediction Exploiting Time and Frequency Correlations Through 2D-LSTM.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020
Deep Learning-Assisted Detection of PUE and Jamming Attacks in Cognitive Radio Systems.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020
2019
Exploiting Sparsity Recovery for Compressive Spectrum Sensing: A Machine Learning Approach.
IEEE Access, 2019
Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019
Compressed Spectrum Sensing Using Sparse Recovery Convergence Patterns through Machine Learning Classification.
Proceedings of the 30th IEEE Annual International Symposium on Personal, 2019
Dictionary Learning-Based Beamspace Channel Estimation in Millimeter-Wave Massive MIMO Systems with a Lens Antenna Array.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019
2018
FDD Massive MIMO Downlink Channel Estimation via Selective Sparse Coding over AoA/AoD Cluster Dictionaries.
Proceedings of the 29th IEEE Annual International Symposium on Personal, 2018
2016
Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness.
Signal Image Video Process., 2016
Super-resolution using multiple structured dictionaries based on the gradient operator and bicubic interpolation.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016
2015
IEEE Signal Process. Lett., 2015
Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness and gradient phase angle.
Signal Image Video Process., 2015
Signal Image Video Process., 2015
Selective super-resolution via sparse representations of sharp image patches using multiple dictionaries and bicubic interpolation.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Directionally-structured dictionary learning and sparse representation based on subspace projections.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
2014
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014
Single image super resolution based on sparse representation via directionally structured dictionaries.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014
Image Super-Resolution via Sparse Representation over Coupled Dictionary Learning Based on Patch Sharpness.
Proceedings of the 2014 European Modelling Symposium, Pisa, Italy, October 21-23, 2014, 2014
Single Image Super-Resolution via Sparse Representation over Directionally Structured Dictionaries Based on the Patch Gradient Phase Angle.
Proceedings of the 2014 European Modelling Symposium, Pisa, Italy, October 21-23, 2014, 2014
2013
Improved single image super-resolution using sparsity and structured dictionary learning in wavelet domain.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013
2012
Single image superresolution using sparsity and dictionary learning in wavelet domain.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012