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pro vyhledávání: '"Alkhateeb A"'
Toward automated hail disaster weather recognition based on spatio-temporal sequence of radar images
Publikováno v:
Demonstratio Mathematica, Vol 57, Iss 1, Pp 104747-970 (2024)
Hail, an intense convective catastrophic weather, is seriously hazardous to people’s lives and properties. This article proposes a multi-step cyclone hail weather recognition model, called long short-term memory (LSTM)-C3D, based on radar images, i
Externí odkaz:
https://doaj.org/article/6be0b18308b240f3bf93ebbb629f4cd8
Publikováno v:
Vascular Health and Risk Management, Vol Volume 19, Pp 411-420 (2023)
Areej Alkhateeb,1 Hossam Eldin M Mahmoud,1 Mohammed AK,1 Mohammed H Hassan,2 Abdel Rahim Mahmoud Muddathir,3 Ahmed G Bakry1 1Cardiology Division of Internal Medicine Department, South Valley University Hospital, Faculty of Medicine, South Valley Univ
Externí odkaz:
https://doaj.org/article/0006f9d5a8dd413c8df852d186f1ec4c
Autor:
Amatare, Sunday, Singh, Gaurav, Shakya, Raul, Kharel, Aavash, Alkhateeb, Ahmed, Roy, Debashri
Autonomous system navigation is a well-researched and evolving field. Recent advancements in improving robot navigation have sparked increased interest among researchers and practitioners, especially in the use of sensing data. However, this heighten
Externí odkaz:
http://arxiv.org/abs/2411.12284
This paper presents the Large Wireless Model (LWM) -- the world's first foundation model for wireless channels. Designed as a task-agnostic model, LWM generates universal, rich, contextualized channel embeddings (features) that potentially enhance pe
Externí odkaz:
http://arxiv.org/abs/2411.08872
Autor:
Demirhan, Umut, Alkhateeb, Ahmed
Leveraging perception from radar data can assist multiple communication tasks, especially in highly-mobile and large-scale MIMO systems. One particular challenge, however, is how to distinguish the communication user (object) from the other mobile ob
Externí odkaz:
http://arxiv.org/abs/2411.06578
In this document, we revise the results of [1] based on more reasonable assumptions regarding data shuffling and parameter setup of deep neural networks (DNNs). Thus, the simulation results can now more reasonably demonstrate the performance of both
Externí odkaz:
http://arxiv.org/abs/2410.06004
Autor:
Demirhan, Umut, Alkhateeb, Ahmed
Beamforming design is critical for the efficient operation of integrated sensing and communication (ISAC) MIMO systems. ISAC beamforming design in cell-free massive MIMO systems, compared to colocated MIMO systems, is more challenging due to the addi
Externí odkaz:
http://arxiv.org/abs/2409.18237
Autor:
Jiang, Shuaifeng, Qu, Qi, Pan, Xiaqing, Agrawal, Abhishek, Newcombe, Richard, Alkhateeb, Ahmed
Fully harvesting the gain of multiple-input and multiple-output (MIMO) requires accurate channel information. However, conventional channel acquisition methods mainly rely on pilot training signals, resulting in significant training overheads (time,
Externí odkaz:
http://arxiv.org/abs/2409.02564
Accurate localization is crucial for various applications, including autonomous vehicles and next-generation wireless networks. However, the reliability and precision of Global Navigation Satellite Systems (GNSS), such as the Global Positioning Syste
Externí odkaz:
http://arxiv.org/abs/2407.19541
We study space-time resolved densities of particle-hole pairs produced by an external time-dependent field acting on non-interacting non-relativistic particles. It is shown that, at least in some cases, the densities are not affected by Fermi-Dirac o
Externí odkaz:
http://arxiv.org/abs/2407.13905