Zobrazeno 1 - 10
of 18 677
pro vyhledávání: '"A, Hass"'
Autor:
Goldfriend, Tomer, Reichental, Israel, Naveh, Amir, Gazit, Lior, Yoran, Nadav, Alon, Ravid, Ur, Shmuel, Lahav, Shahak, Cornfeld, Eyal, Elazari, Avi, Emanuel, Peleg, Harpaz, Dor, Michaeli, Tal, Erez, Nati, Preminger, Lior, Shapira, Roman, Garcell, Erik Michael, Samimi, Or, Kisch, Sara, Hallel, Gil, Kishony, Gilad, van Wingerden, Vincent, Rosenbloom, Nathaniel A., Opher, Ori, Vax, Matan, Smoler, Ariel, Danzig, Tamuz, Schirman, Eden, Sella, Guy, Cohen, Ron, Garfunkel, Roi, Cohn, Tali, Rosemarin, Hanan, Hass, Ron, Jankiewicz, Klem, Gharra, Karam, Roth, Ori, Azar, Barak, Asban, Shahaf, Linkov, Natalia, Segman, Dror, Sahar, Ohad, Davidson, Niv, Minerbi, Nir, Naveh, Yehuda
We present a scalable, robust approach to creating quantum programs of arbitrary size and complexity. The approach is based on the true abstraction of the problem. The quantum program is expressed in terms of a high-level model together with constrai
Externí odkaz:
http://arxiv.org/abs/2412.07372
Autor:
Katsaros, Konstantinos, Mavromatis, Ioannis, Antonakoglou, Kostantinos, Ghosh, Saptarshi, Kaleshi, Dritan, Mahmoodi, Toktam, Asgari, Hamid, Karousos, Anastasios, Tavakkolnia, Iman, Safi, Hossein, Hass, Harald, Vrontos, Constantinos, Emami, Amin, Ullauri, Juan Parra, Moazzeni, Shadi, Simeonidou, Dimitra
The development of the sixth generation of communication networks (6G) has been gaining momentum over the past years, with a target of being introduced by 2030. Several initiatives worldwide are developing innovative solutions and setting the directi
Externí odkaz:
http://arxiv.org/abs/2411.06870
Publikováno v:
In 1st ACM SIGSPATIAL International Workshop on Geospatial Anomaly Detection (GeoAnomalies'24), October 29, 2024, Atlanta, GA, USA
Spatiotemporal data consisting of timestamps, GPS coordinates, and IDs occurs in many settings. Modeling approaches for this type of data must address challenges in terms of sensor noise, uneven sampling rates, and non-persistent IDs. In this work, w
Externí odkaz:
http://arxiv.org/abs/2410.07161
Autor:
Tang, Minxue, Wang, Yitu, Zhang, Jingyang, DiValentin, Louis, Ding, Aolin, Hass, Amin, Chen, Yiran, Li, Hai "Helen"
Federated Learning (FL) provides a strong privacy guarantee by enabling local training across edge devices without training data sharing, and Federated Adversarial Training (FAT) further enhances the robustness against adversarial examples, promoting
Externí odkaz:
http://arxiv.org/abs/2409.08372
We consider many-particle diffusion in one spatial dimension modeled as Random Walks in a Random Environment (RWRE). A shared short-range space-time random environment determines the jump distributions that drive the motion of the particles. We deter
Externí odkaz:
http://arxiv.org/abs/2406.17733
Autor:
Maria Hornstrup Christensen, Christina Anne Vinter, Thomas Bastholm Olesen, Maria Houborg Petersen, Ellen Aagaard Nohr, Katrine Hass Rubin, Marianne Skovsager Andersen, Dorte Moeller Jensen
Publikováno v:
Breast Cancer Research, Vol 26, Iss 1, Pp 1-10 (2024)
Abstract Background Gestational diabetes mellitus (GDM) is a common pregnancy complication characterized by insulin resistance. A link has been suggested between insulin resistance and breast cancer, which is the most common cancer in women. Hence, w
Externí odkaz:
https://doaj.org/article/31eadece72a04c68b9522cd3474dc13e
Publikováno v:
Cell Communication and Signaling, Vol 22, Iss 1, Pp 1-20 (2024)
Abstract Background The release of extracellular vesicles (EVs) including exosomes from human mesenchymal stroma/stem-like cells (MSC) represents valuable cell-free carriers for the delivery of regenerative and medicinal compounds. Methods EVs/exosom
Externí odkaz:
https://doaj.org/article/dfbb409c7111468a8a808b5b9590b525
The first passage time for a single diffusing particle has been studied extensively, but the first passage time of a system of many diffusing particles, as is often the case in physical systems, has received little attention until recently. We consid
Externí odkaz:
http://arxiv.org/abs/2308.01267
Autor:
Hass, Binesh, author
Publikováno v:
AI Morality, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780198876434.003.0005
Autor:
Adam, Robert, Antel, Claire, Bashir, Munirat, Benchekroun, Driss, Bertou, Xavier, Böttcher, Markus, Buffler, Andy, Chen, Andrew, Essig, Rouven, Gascon, Jules, Gouighri, Mohamed, Hass, Trevor, Hillhouse, Gregory, Hoummada, Abdeslam, John, Anslyn, Jones, Pete, Khoulaki, Youssef, Lavina, Luca, Leeuw, Lerothodi, Lekala, Mantile, Lindsay, Robert, Maartens, Roy, Ma, Yin-Zhe, Malek, Fairouz, Maleka, Peane, Marteau, Jacques, Mazini, Rachid, Medupe, Thebe, Garcia, Bruce Mellado, Messina, Marcello, Msebi, Lumkile, Mwewa, Chilufya, Ndabeni, Zina, Newman, Richard, O'neill, George, Piquemal, Fabrice, Roos, Lydia, Santos, Daniel, Scorza, Silvia, Simkovic, Fedor, Stekl, Ivan, Tayalati, Yahya, Triambak, Smarajit, Vilakazi, Zeblon, Wyngaardt, Shaun, van Zyl, JJ
Establishing a deep underground physics laboratory to study, amongst others, double beta decay, geoneutrinos, reactor neutrinos and dark matter has been discussed for more than a decade within the austral African physicists' community. PAUL, the Paar
Externí odkaz:
http://arxiv.org/abs/2306.12083