Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Hossam M. Kasem"'
Autor:
Radwa A. Roshdy, Mostafa H. Dahshan, Salman A. AlQahtani, Ahmed Emam, Hossam M. Kasem, Mohammed A. Salem
Publikováno v:
IEEE Access, Vol 11, Pp 34529-34543 (2023)
It is crucial to have a dependable and precise channel model in order to study the properties of millimeter wave (mmWave) propagation. The Quasi-deterministic (QD) channel model is employed in this viewpoint, which describes the propagation of mm-Wav
Externí odkaz:
https://doaj.org/article/03466c61412e452fb19bb0521f90c8e7
Publikováno v:
IEEE Access, Vol 8, Pp 170618-170634 (2020)
Compressed sensing (CS) represents an efficient framework to simultaneously acquire and compress images/signals while reducing acquisition time and memory requirements to process or transmit them. Specifically, CS is able to recover an image from a r
Externí odkaz:
https://doaj.org/article/f1f50644608f4b7e8a6aba9dbaf4eae7
Publikováno v:
IEEE Access, Vol 7, Pp 45618-45631 (2019)
In general, existing research on single image super-resolution does not consider the practical application that, when image transmission is over noisy channels, the effect of any possible geometric transformations could incur significant quality loss
Externí odkaz:
https://doaj.org/article/e316fc82d0b84cfc91b3a0416339bd91
Publikováno v:
IEEE Access, Vol 7, Pp 182993-183009 (2019)
Recently, there have been significant advances in image super-resolution based on generative adversarial networks (GANs) to achieve breakthroughs in generating more images with high subjective quality. However, there are remaining challenges needs to
Externí odkaz:
https://doaj.org/article/03e7dc52ee504515ab24c71ec84af694
Publikováno v:
IEEE Access, Vol 7, Pp 113916-113930 (2019)
For many practical applications, it is essential to address both geometric corrections and missing information reconstruction of face images and natural images. However, it is unfavorable to separate the problem into two sub-tasks due to error accumu
Externí odkaz:
https://doaj.org/article/c36e8c59c66148b2bca31e997cc2dcf1
Publikováno v:
IEEE Communications Letters. 24:2805-2808
Massive multiple-input multiple-output (M-MIMO) is one of the main 5G-enabling technologies that promise to increase cell throughput and reduce multiuser interference. However, these abilities rely on exploiting the channel state information (CSI) fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a281408c9edae2d12b03e720f6f6dc3f
https://doi.org/10.1109/lcomm.2020.3017188
https://doi.org/10.1109/lcomm.2020.3017188
Publikováno v:
IEEE Access, Vol 7, Pp 182993-183009 (2019)
Recently, there have been significant advances in image super-resolution based on generative adversarial networks (GANs) to achieve breakthroughs in generating more images with high subjective quality. However, there are remaining challenges needs to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f86c30339a09d450a1a18e8381b8ee6
https://ieeexplore.ieee.org/document/8933156/
https://ieeexplore.ieee.org/document/8933156/
Publikováno v:
Eleventh International Conference on Graphics and Image Processing (ICGIP 2019).
Due to the limitation of the communication system resources, the compression is required to reduce the complexity, the required storage, and the processing time. In traditional compression techniques the signal is sampled according to Shannon-Nyquist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12b74390a9e6f2dd03fb2d7de5bea305
https://doi.org/10.1117/12.2557296
https://doi.org/10.1117/12.2557296
In medical imaging, it is crucial to reduce the exposure time of the patient to the medical modality. Medical image compression has a significant role, including telemedicine, medical imaging, and video conferencing for consultation. One of the effec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::729ddf9fa88583b0ee075ff970156637
https://doi.org/10.1016/b978-0-12-820024-7.00009-8
https://doi.org/10.1016/b978-0-12-820024-7.00009-8
Autor:
Shankar Aggarwal, Eman Elsaid Alaa, Vatsala Anand, Amira S. Ashour, Shoaib Amin Banday, Ayushi Bansal, D. Bhargava, Puja Bharti, Parul Dutta, Sannasi Ganapathy, Yanhui Guo, Savita Gupta, Sharut Gupta, Bazila Hashia, Anurag Jain, Virender Kadyan, Arputharaj Kannan, Hossam M. Kasem, Gurpreet Kaur, Jaskaranveer Kaur, Deepika Koundal, Shakeel Malik, Yogish Mallya, Ajaz Hussain Mir, Deepti Mittal, Balasubramanian Prabhu Kavin, Varun Sapra, Bhisham Sharma, Arun H. Shastry, Chander Shekhar, Sartajvir Singh, Sukhwinder Singh, Vishakha Sood, Paramveer Kaur Sran, Pradeep Suthanthiramani, Shamik Tiwari, M.S. Vidya, Renu Vig, S. Vyas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cf50cb44b617e4aa67ebbf313ebcda4
https://doi.org/10.1016/b978-0-12-820024-7.00018-9
https://doi.org/10.1016/b978-0-12-820024-7.00018-9