Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Majid Moradikia"'
Autor:
Ahmad Hassanpour, Majid Moradikia, Bian Yang, Ahmed Abdelhadi, Christoph Busch, Julian Fierrez
Publikováno v:
IEEE Access, Vol 10, Pp 24273-24287 (2022)
Enhancing the privacy of machine learning (ML) algorithms has become crucial with the presence of different types of attacks on AI applications. Continual learning (CL) is a branch of ML with the aim of learning a set of knowledge sequentially and co
Externí odkaz:
https://doaj.org/article/af10a6fea2fa4e74b318c4e469dbb6c4
Publikováno v:
IEEE Access, Vol 7, Pp 116942-116964 (2019)
In this work, by considering a variety of realistic hardware impairments, we aim to enhance the security of a cooperative relaying network, where a source intends to transmit its confidential information to a destination in the presence of a group of
Externí odkaz:
https://doaj.org/article/c99caef4fecf45c2a268e52578679af9
Autor:
Mahdi Nouri, Hamid Behroozi, Hamed Bastami, Majid Moradikia, Alireza Jafarieh, Ahmed Abdelhadi, Zhu Han
Publikováno v:
IEEE Transactions on Communications. 71:3043-3058
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d25c42961b5779ae9e83af470da6168c
https://doi.org/10.1109/tcomm.2023.3247768
https://doi.org/10.1109/tcomm.2023.3247768
Autor:
Hamed Bastami, Hamid Behroozi, Majid Moradikia, Ahmed Abdelhadi, Derrick Wing Kwan Ng, Lajos Hanzo
UAVs are capable of improving the performance of next generation wireless systems. Specifically, UAVs can be exploited as aerial base-stations (UAV-BS) for supporting legitimate ground users in remote uncovered areas or in environments temporarily re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3015231dc69280f608674ff5f3a65c4
https://eprints.soton.ac.uk/475936/
https://eprints.soton.ac.uk/475936/
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82054b725040ba2ab234389718b004a3
https://doi.org/10.1109/tgrs.2022.3172018
https://doi.org/10.1109/tgrs.2022.3172018
Publikováno v:
Journal of Real-Time Image Processing. 18:1441-1455
The earlier works in the context of sparsity-driven SAR imaging have shown significant improvement in the reconstruction process due to admitting sparsity as a prior. In spite of the importance of real-time processing requirement in the remote sensin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a882a709fb26bd1518204fb5d22db0e1
https://doi.org/10.1007/s11554-021-01076-0
https://doi.org/10.1007/s11554-021-01076-0
Although Unmanned Aerial Vehicles (UAVs) are capable of significantly improving the information security by detecting the eavesdropper's location, their limited energy motivates our research to propose a secure and energy efficient scheme. Thanks to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c3a912b9dd4440ae9be161bf5b7eae6
https://eprints.soton.ac.uk/468522/
https://eprints.soton.ac.uk/468522/
Publikováno v:
IEEE Transactions on Computational Imaging. 7:384-398
With the goal of persistent surveillance over a scene of interest, this paper proposes an approach for joint imaging and trajectory extraction of multiple moving objects, using circular video-SAR (ViSAR) mode. Unlike stationary SAR imaging where the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b673401253991b42b45f56e136a29d21
https://doi.org/10.1109/tci.2021.3069762
https://doi.org/10.1109/tci.2021.3069762
Automatic modulation classification (AMC) using the Deep Neural Network (DNN) approach outperforms the traditional classification techniques, even in the presence of challenging wireless channel environments. However, the adversarial attacks cause th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27751d8aba89e2d691184d6873cfc832
Publikováno v:
IEEE Transactions on Computational Imaging. 5:1-16
In this paper, we introduce a multi-feature decomposition approach to the problem of synthetic aperture radar (SAR) image reconstruction from under-sampled data in both range and azimuth directions. Conventional SAR image formation methods may produc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b8e7520c02db4d3b1c61a406c72286f
https://doi.org/10.1109/tci.2018.2881530
https://doi.org/10.1109/tci.2018.2881530