Zobrazeno 1 - 10
of 17 677
pro vyhledávání: '"P, Redondo"'
Autor:
Castro, David Pérez, Vilas, Ana Fernández, Fernández-Veiga, Manuel, Rodríguez, Mateo Blanco, Redondo, Rebeca P. Díaz
We implement a simulation environment on top of NetSquid that is specifically designed for estimating the end-to-end fidelity across a path of quantum repeaters or quantum switches. The switch model includes several generalizations which are not curr
Externí odkaz:
http://arxiv.org/abs/2410.09779
Autor:
Cajaraville-Aboy, Diego, Fernández-Vilas, Ana, Díaz-Redondo, Rebeca P., Fernández-Veiga, Manuel
Federated Learning (FL) emerges as a distributed machine learning approach that addresses privacy concerns by training AI models locally on devices. Decentralized Federated Learning (DFL) extends the FL paradigm by eliminating the central server, the
Externí odkaz:
http://arxiv.org/abs/2409.17754
Nowadays, many machine learning (ML) solutions to improve the wireless standard IEEE802.11p for Vehicular Adhoc Network (VANET) are commonly evaluated in the simulated world. At the same time, this approach could be cost-effective compared to real-wo
Externí odkaz:
http://arxiv.org/abs/2409.16968
Autor:
Garcia, B. Ary dos Santos, Bergermann, D., Caldwell, A., Dabhi, V., Diaconu, C., Diehl, J., Dvali, G., Egge, J., Garutti, E., Heyminck, S., Hubaut, F., Ivanov, A., Jochum, J., Knirck, S., Kramer, M., Kreikemeyer-Lorenzo, D., Krieger, C., Lee, C., Leppla-Weber, D., Li, X., Lindner, A., Majorovits, B., Maldonado, J. P. A., Martini, A., Miyazaki, A., Öz, E., Pralavorio, P., Raffelt, G., Redondo, J., Ringwald, A., Schaffran, J., Schmidt, A., Steffen, F., Strandhagen, C., Usherov, I., Wang, H., Wieching, G.
This paper presents the first search for dark matter axions with mass in the ranges 76.56 to 76.82 $\mu$eV and 79.31 to 79.53 $\mu$eV using a prototype setup for the MAgnetized Disk and Mirror Axion eXperiment (MADMAX). The experimental setup employs
Externí odkaz:
http://arxiv.org/abs/2409.11777
Optimizing QoS in HD Map Updates: Cross-Layer Multi-Agent with Hierarchical and Independent Learning
The data collected by autonomous vehicle (AV) sensors such as LiDAR and cameras is crucial for creating high-definition (HD) maps to provide higher accuracy and enable a higher level of automation. Nevertheless, offloading this large volume of raw da
Externí odkaz:
http://arxiv.org/abs/2408.11605
In recent years, the continued detection of complex organic molecules of prebiotic interest has refueled the interest on a panspermic origin of life. The prebiotic molecule glyceraldehyde is proposed to be formed from (Z)-1,2-ethenediol, a molecule r
Externí odkaz:
http://arxiv.org/abs/2408.08608
Autor:
Egge, J., Leppla-Weber, D., Knirck, S., Garcia, B. Ary dos Santos, Bergermann, D., Caldwell, A., Dabhi, V., Diaconu, C., Diehl, J., Dvali, G., Ekmedžić, M., Gallo, F., Garutti, E., Heyminck, S., Hubaut, F., Ivanov, A., Jochum, J., Karst, P., Kramer, M., Kreikemeyer-Lorenzo, D., Krieger, C., Lee, C., Lindner, A., Maldonado, J. P. A., Majorovits, B., Martens, S., Martini, A., Miyazaki, A., Öz, E., Pralavorio, P., Raffelt, G., Ringwald, A., Redondo, J., Roset, S., Salama, N., Schaffran, J., Schmidt, A., Steffen, F., Strandhagen, C., Usherov, I., Wang, H., Wieching, G., Cancelo, G., Di Federico, M., Hoshino, G., Stefanazzi, L.
We report the first result from a dark photon dark matter search in the mass range from ${78.62}$ to $83.95~\mathrm{\mu eV}/c^2$ with a dielectric haloscope prototype for MADMAX (Magnetized Disc and Mirror Axion eXperiment). Putative dark photons wou
Externí odkaz:
http://arxiv.org/abs/2408.02368
Reinforcement Learning (RL) algorithms have been used to address the challenging problems in the offloading process of vehicular ad hoc networks (VANET). More recently, they have been utilized to improve the dissemination of high-definition (HD) Maps
Externí odkaz:
http://arxiv.org/abs/2407.21460
Publikováno v:
2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM)
One effective way to optimize the offloading process is by minimizing the transmission time. This is particularly true in a Vehicular Adhoc Network (VANET) where vehicles frequently download and upload High-definition (HD) map data which requires con
Externí odkaz:
http://arxiv.org/abs/2408.03329
Autor:
Azad, Fahim Tasneema, Anton, Javier Redondo, Mitra, Shubhodeep, Singh, Fateh, Behrens, Hans, Li, Mao-Lin, Arslan, Bilgehan, Candan, K. Selçuk, Sapino, Maria Luisa
Many socio-economical critical domains (such as sustainability, public health, and disasters) are characterized by highly complex and dynamic systems, requiring data and model-driven simulations to support decision-making. Due to a large number of un
Externí odkaz:
http://arxiv.org/abs/2407.14571