Zobrazeno 1 - 10
of 129
pro vyhledávání: '"Waheed U. Bajwa"'
Autor:
Alireza Nooraiepour, Shaghayegh Vosoughitabar, Chung-Tse Michael Wu, Waheed U. Bajwa, Narayan B. Mandayam
Publikováno v:
Advanced Intelligent Systems, Vol 5, Iss 10, Pp n/a-n/a (2023)
The advancement of future large‐scale wireless networks necessitates the development of cost‐effective and scalable security solutions. Specifically, physical layer (PHY) security has been put forth as a cost‐effective alternative to cryptograp
Externí odkaz:
https://doaj.org/article/a843a93767a54ca2bc21c3df73e949e1
Autor:
Shixiao Liang, Aaron Higuera, Christina Peters, Venkat Roy, Waheed U. Bajwa, Hagit Shatkay, Christopher D. Tunnell
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
This work proposes a domain-informed neural network architecture for experimental particle physics, using particle interaction localization with the time-projection chamber (TPC) technology for dark matter research as an example application. A key fe
Externí odkaz:
https://doaj.org/article/0acec856b5984186a9f8a65a2481b838
Autor:
Mahmoud Elgenedy, Mohamed Mokhtar Awadin, Ridha Hamila, Waheed U. Bajwa, Ahmed S. Ibrahim, Naofal Al-Dhahir
Publikováno v:
IEEE Access, Vol 6, Pp 30280-30295 (2018)
We propose a new sparsity-aware framework to model and mitigate the joint effects of narrow-band interference (NBI) and impulsive noise (IN) in hybrid powerline and unlicensed wireless communication systems. The proposed mitigation techniques, based
Externí odkaz:
https://doaj.org/article/5d10cdeb9d9140658ac0a4d30f73b5fc
Autor:
Joseph Shenouda, Waheed U. Bajwa
Publikováno v:
IEEE Signal Processing Magazine. 40:141-151
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27dcf8329a835ce6eac85b083c5b3e54
https://doi.org/10.1109/msp.2022.3217659
https://doi.org/10.1109/msp.2022.3217659
Publikováno v:
IEEE Transactions on Mobile Computing. 22:472-486
Multi-camera networks are increasingly becoming pervasive in many monitoring and surveillance applications, and have attracted much attention in distributed systems with collaborative, real-time decision-making capabilities. While in-network data com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c478cd0256488d1bb4773c37d5ade9e8
https://doi.org/10.1109/tmc.2021.3072066
https://doi.org/10.1109/tmc.2021.3072066
Autor:
Alireza Nooraiepour, Shaghayegh Vosoughitabar, Chung-Tse Michael Wu, Waheed U. Bajwa, Narayan B. Mandayam
Publikováno v:
ACM Journal on Emerging Technologies in Computing Systems. 18:1-20
Novel transmission schemes, enabled by recent advances in the fields of metamaterial (MTM), leaky-wave antenna (LWA) and directional modulation (DM), are proposed for enhancing the physical layer (PHY) security. MTM-LWAs, which offer compact, integra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::baae17f46ac453e55f4293e5b58f97d9
https://doi.org/10.1145/3513088
https://doi.org/10.1145/3513088
Publikováno v:
IEEE Transactions on Signal and Information Processing over Networks. 8:610-626
Machine learning has begun to play a central role in many applications. A multitude of these applications typically also involve datasets that are distributed across multiple computing devices/machines due to either design constraints (e.g., multiage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcb6bf2f0a061216cf27de349d665e75
https://doi.org/10.1109/tsipn.2022.3188456
https://doi.org/10.1109/tsipn.2022.3188456
Publikováno v:
2023 57th Annual Conference on Information Sciences and Systems (CISS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6443bf18a08b679e636b34c7c85d085d
https://doi.org/10.1109/ciss56502.2023.10089668
https://doi.org/10.1109/ciss56502.2023.10089668
Autor:
Arpita Gang, Waheed U. Bajwa
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86ae309a56177e5d87a4971067149cca
https://doi.org/10.23919/eusipco55093.2022.9909543
https://doi.org/10.23919/eusipco55093.2022.9909543
Autor:
Shaghayegh Vosoughitabar, Alireza Nooraiepour, Waheed U. Bajwa, Narayan Mandayam, Chung- Tse Michael Wu
Publikováno v:
2022 IEEE/MTT-S International Microwave Symposium - IMS 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce75b95d1d10adc656d32b06a58c87b2
https://doi.org/10.1109/ims37962.2022.9865545
https://doi.org/10.1109/ims37962.2022.9865545