Zobrazeno 1 - 10
of 60 862
pro vyhledávání: '"Elsayed, AS"'
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
Autor:
Sullivan, Rob, Elsayed, Nelly
The performance of Large language models (LLMs) across a broad range of domains has been impressive but have been critiqued as not being able to reason about their process and conclusions derived. This is to explain the conclusions draw, and also for
Externí odkaz:
http://arxiv.org/abs/2410.21490
Artificial Water Bodies (AWBs) are human-made and require continuous monitoring due to their artificial biological processes. These systems necessitate regular maintenance to manage their ecosystems effectively. Unmanned Surface Vehicle (USV) offers
Externí odkaz:
http://arxiv.org/abs/2410.17685
Zoomorphic robots have the potential to offer companionship and well-being as accessible, low-maintenance alternatives to pet ownership. Many such robots, however, feature limited emotional expression, restricting their potential for rich affective r
Externí odkaz:
http://arxiv.org/abs/2410.15486