Hossam M. Kasem

Orcid: 0000-0001-8680-9609

According to our database1, Hossam M. Kasem authored at least 14 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Quantifying Impact of Pointing Errors on Secrecy Performance of UAV-Based Relay-Assisted FSO Links.
IEEE Internet Things J., January, 2024

2023
Methods for Simplifying Quasi-Deterministic Millimeter-Wave Channel Models.
IEEE Access, 2023

2020
Massive MIMO CSI Feedback Based on Generative Adversarial Network.
IEEE Commun. Lett., 2020

A novel weighted compressive sensing using L1-magic recovery technique in medical image compression.
Health Inf. Sci. Syst., 2020

DRCS-SR: Deep Robust Compressed Sensing for Single Image Super-Resolution.
IEEE Access, 2020

2019
Spatial Transformer Generative Adversarial Network for Robust Image Super-Resolution.
IEEE Access, 2019

Robust Image Completion via Deep Feature Transformations.
IEEE Access, 2019

A Very Deep Spatial Transformer Towards Robust Single Image Super-Resolution.
IEEE Access, 2019

2018
Revised Spatial Transformer Network towards Improved Image Super-resolutions.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
FSO-SIMO system with SIM-DPSK over log-normal atmospheric turbulence and misalignment.
Proceedings of the 2017 19th International Conference on Transparent Optical Networks (ICTON), 2017

2015
Performance of perceptual 1-bit compressed sensing for audio compression.
Proceedings of the 2015 IEEE Symposium on Computers and Communication, 2015

Quantized Perceptual Compressed Sensing for Audio Signal Compression.
Proceedings of the 2015 Data Compression Conference, 2015

2014
Perceptual Compressed Sensing and perceptual Sparse Fast Fourier Transform for audio signal compression.
Proceedings of the 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2014

2013
A comparative study of audio compression based on compressed sensing and Sparse Fast Fourier transform (SFFT): Performance and challenges.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2013


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