Zobrazeno 1 - 10
of 20 185
pro vyhledávání: '"Girgis, A"'
This letter introduces a machine-learning approach to learning the semantic dynamics of correlated systems with different control rules and dynamics. By leveraging the Koopman operator in an autoencoder (AE) framework, the system's state evolution is
Externí odkaz:
http://arxiv.org/abs/2410.02303
Autor:
McKinney, Evan, Falstin, Girgis, Yusuf, Israa G., Agarwal, Gaurav, Hatridge, Michael, Jones, Alex K.
This paper addresses frequency crowding constraints in modular quantum architecture design, focusing on the SNAIL-based quantum modules. Two key objectives are explored. First, we present physics-informed design constraints by describing a physical m
Externí odkaz:
http://arxiv.org/abs/2409.18262
In this work, we propose a novel data-driven machine learning (ML) technique to model and predict the dynamics of the wireless propagation environment in latent space. Leveraging the idea of channel charting, which learns compressed representations o
Externí odkaz:
http://arxiv.org/abs/2409.10045
In remote control systems, transmitting large data volumes (e.g. video feeds) from wireless sensors to faraway controllers is challenging when the uplink channel capacity is limited (e.g. RedCap devices or massive wireless sensor networks). Furthermo
Externí odkaz:
http://arxiv.org/abs/2406.04853
Autor:
Rowe, Luke, Girgis, Roger, Gosselin, Anthony, Carrez, Bruno, Golemo, Florian, Heide, Felix, Paull, Liam, Pal, Christopher
Evaluating autonomous vehicle stacks (AVs) in simulation typically involves replaying driving logs from real-world recorded traffic. However, agents replayed from offline data are not reactive and hard to intuitively control. Existing approaches addr
Externí odkaz:
http://arxiv.org/abs/2403.19918
Autor:
Hard, Andrew, Girgis, Antonious M., Amid, Ehsan, Augenstein, Sean, McConnaughey, Lara, Mathews, Rajiv, Anil, Rohan
How well do existing federated learning algorithms learn from client devices that return model updates with a significant time delay? Is it even possible to learn effectively from clients that report back minutes, hours, or days after being scheduled
Externí odkaz:
http://arxiv.org/abs/2403.09086
Autor:
Girgis, Afaf, Durcinoska, Ivana, Arnold, Anthony, Descallar, Joseph, Kaadan, Nasreen, Koh, Eng-Siew, Miller, Andrew, Ng, Weng, Carolan, Martin, Della-Fiorentina, Stephen A, Avery, Sandra, Delaney, Geoff P
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 10, p e19685 (2020)
BackgroundDespite the acceptability and efficacy of e–patient-reported outcome (ePRO) systems, implementation in routine clinical care remains challenging. ObjectiveThis pragmatic trial implemented the PROMPT-Care (Patient Reported Outcome Measure
Externí odkaz:
https://doaj.org/article/566eea9fb2624249b9c85f04439ef11d
Autor:
Kim, Andrew H, Girgis, Afaf, Karimi, Neda, Sechi, Alexandra J, Descallar, Joseph, Andrews, Jane M, Siegel, Corey A, Connor, Susan J
Publikováno v:
JMIR Research Protocols, Vol 9, Iss 7, p e15994 (2020)
BackgroundPatients with ulcerative colitis (UC) often face complex treatment decisions. Although shared decision making (SDM) is considered important, tools to facilitate this are currently lacking for UC. A recent pilot study of a novel Web-based de
Externí odkaz:
https://doaj.org/article/27b8e309fb4f4815ac18b405fcbad5de
Autor:
Ploner, Stefan, Won, Jungeun, Schottenhamml, Julia, Girgis, Jessica, Lam, Kenneth, Waheed, Nadia, Fujimoto, James, Maier, Andreas
Optical coherence tomography (OCT) is a non-invasive, micrometer-scale imaging modality that has become a clinical standard in ophthalmology. By raster-scanning the retina, sequential cross-sectional image slices are acquired to generate volumetric d
Externí odkaz:
http://arxiv.org/abs/2402.12114
Autor:
Attallah, Kirolos, Zaky, Girgis, Abdelrhim, Nourhan, Botros, Kyrillos, Dife, Amjad, Negied, Nermin
Publikováno v:
International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 1, 2024
Customers all over the world want to see how the clothes fit them or not before purchasing. Therefore, customers by nature prefer brick-and-mortar clothes shopping so they can try on products before purchasing them. But after the Pandemic of COVID19
Externí odkaz:
http://arxiv.org/abs/2402.00994