Zobrazeno 1 - 10
of 62 506
pro vyhledávání: '"ElSayed OF"'
Autor:
Khodary, Yasmeen Fekery Yaseen El, Selmey, Mousa Gowfal Selmey Gowfal, Elsayed, Elsayed Farrag Elsaid Mohamed
This paper investigated the impact of Egypt's accession to the BRICS bloc by studying the participation rate of BRICS countries in Egypt, as well as the exposure rate and the ratio of foreign investment of BRICS countries in Egypt to the total foreig
Externí odkaz:
http://arxiv.org/abs/2412.16927
In this paper, we present a queueing model for quantum communication networks, a rapidly growing field of research inspired by its technological promise and recent experimental successes. The model consists of a primary queue and a service queue wher
Externí odkaz:
http://arxiv.org/abs/2412.16157
There is a surge of interest in using formal languages such as Linear Temporal Logic (LTL) and finite automata to precisely and succinctly specify complex tasks and derive reward functions for reinforcement learning (RL) in robotic applications. Howe
Externí odkaz:
http://arxiv.org/abs/2412.10917
Publikováno v:
The 16th International Joint Conference on Computational Intelligence (NCTA), Porto, Portugal, November 19-22, 2024
Autonomous driving involves complex tasks such as data fusion, object and lane detection, behavior prediction, and path planning. As opposed to the modular approach which dedicates individual subsystems to tackle each of those tasks, the end-to-end a
Externí odkaz:
http://arxiv.org/abs/2411.16131
Autor:
Hashmi, Sarim, Lugo, Juan, Elsayed, Abdelrahman, Saggurthi, Dinesh, Elseiagy, Mohammed, Nurkamal, Alikhan, Walia, Jaskaran, Maani, Fadillah Adamsyah, Yaqub, Mohammad
Identifying key pathological features in brain MRIs is crucial for the long-term survival of glioma patients. However, manual segmentation is time-consuming, requiring expert intervention and is susceptible to human error. Therefore, significant rese
Externí odkaz:
http://arxiv.org/abs/2411.15872
Autor:
Vasan, Gautham, Elsayed, Mohamed, Azimi, Alireza, He, Jiamin, Shariar, Fahim, Bellinger, Colin, White, Martha, Mahmood, A. Rupam
Modern deep policy gradient methods achieve effective performance on simulated robotic tasks, but they all require large replay buffers or expensive batch updates, or both, making them incompatible for real systems with resource-limited computers. We
Externí odkaz:
http://arxiv.org/abs/2411.15370
Autor:
Iturria-Rivera, Pedro Enrique, Gaigalas, Raimundas, Elsayed, Medhat, Bavand, Majid, Ozcan, Yigit, Erol-Kantarci, Melike
Extended Reality (XR) services are set to transform applications over 5th and 6th generation wireless networks, delivering immersive experiences. Concurrently, Artificial Intelligence (AI) advancements have expanded their role in wireless networks, h
Externí odkaz:
http://arxiv.org/abs/2411.14264
Autor:
Stehouwer, Lucas E. A., Yu, Cécile X., van Straaten, Barnaby, Tosato, Alberto, John, Valentin, Esposti, Davide Degli, Elsayed, Asser, Costa, Davide, Oosterhout, Stefan D., Hendrickx, Nico W., Veldhorst, Menno, Borsoi, Francesco, Scappucci, Giordano
Disorder in the heterogeneous material stack of semiconductor spin qubit systems introduces noise that compromises quantum information processing, posing a challenge to coherently control large-scale quantum devices. Here, we exploit low-disorder epi
Externí odkaz:
http://arxiv.org/abs/2411.11526
Autor:
Zhang, Han, Elsayed, Medhat, Bavand, Majid, Gaigalas, Raimundas, Ozcan, Yigit, Erol-Kantarci, Melike
Federated learning (FL) is an innovative distributed artificial intelligence (AI) technique. It has been used for interdisciplinary studies in different fields such as healthcare, marketing and finance. However the application of FL in wireless netwo
Externí odkaz:
http://arxiv.org/abs/2411.04159
Interactions have strong effects in systems with flat bands. We examine the role of Coulomb interactions in two dimensional chiral anisotropic quasiparticles that disperse linearly in one direction and have relatively flat bands near the neutrality p
Externí odkaz:
http://arxiv.org/abs/2410.22572