Zobrazeno 1 - 10
of 10 857
pro vyhledávání: '"A. Merluzzi"'
This paper investigates how semantic communication can effectively influence and potentially redefine the limitations imposed by physical layer settings. Reconfigurable Intelligent Surfaces (RIS) enable the intelligent configuration of the physical l
Externí odkaz:
http://arxiv.org/abs/2410.08155
Autor:
Di Gennaro, G., Venturi, T., Giacintucci, S., Brüggen, M., Bulbul, E., Sanders, J., Liu, A., Zhang, X., Trehaeven, K., Dallacasa, D., Merluzzi, P., Pasini, T., Bardelli, S., Bernardi, G., Smirnov, O.
Superclusters are the largest-scale environments where a number of galaxy clusters interact with each other through minor/major mergers and grow via accretion along cosmic filaments. We focus on the A3528 complex in the core of the Shapley Superclust
Externí odkaz:
http://arxiv.org/abs/2408.14142
Autor:
Merluzzi, P., Venturi, T., Busarello, G., Di Gennaro, G., Giacintucci, S., Casasola, V., Krajnovic, D., Vernstrom, T., Carretti, E., Smirnov, O., Trehaeven, K., Anderson, C. S., Chesters, J., Heald, G., Hopkins, A. M., Koribalski, B.
We study the radio continuum emission of four galaxies experiencing ram-pressure stripping in four clusters of the Shapley supercluster at redshift z~0.05. Multi-band (235-1367 MHz) radio data, complemented by integral-field spectroscopy, allow us to
Externí odkaz:
http://arxiv.org/abs/2407.21628
Autor:
Angthopo, J., Granett, B. R., La Barbera, F., Longhetti, M., Iovino, A., Fossati, M., Ditrani, F. R., Costantin, L., Zibetti, S., Gallazzi, A., Sánchez-Blázquez, P., Tortora, C., Spiniello, C., Poggianti, B., Vazdekis, A., Balcells, M., Bardelli, S., Benn, C. R., Bianconi, M., Bolzonella, M., Busarello, G., Cassarà, L. P., Corsini, E. M., Cucciati, O., Dalton, G., Ferré-Mateu, A., García-Benito, R., Delgado, R. M. González, Gafton, E., Gullieuszik, M., Haines, C. P., Iodice, E., Ikhsanova, A., Jin, S., Knapen, J. H., McGee, S., Mercurio, A., Merluzzi, P., Morelli, L., Moretti, A., Murphy, D. N. A., Pizzella, A., Pozzetti, L., Ragusa, R., Trager, S. C., Vergani, D., Vulcani, B., Talia, M., Zucca, E.
The WHT Enhanced Area Velocity Explorer (WEAVE) is a new, massively multiplexing spectrograph. This new instrument will be exploited to obtain high S/N spectra of $\sim$25000 galaxies at intermediate redshifts for the WEAVE Stellar Population Survey
Externí odkaz:
http://arxiv.org/abs/2406.11748
In recent years, the integration of communication and control systems has gained significant traction in various domains, ranging from autonomous vehicles to industrial automation and beyond. Multi-armed bandit (MAB) algorithms have proven their effe
Externí odkaz:
http://arxiv.org/abs/2405.09430
Autor:
Strinati, Emilio Calvanese, Di Lorenzo, Paolo, Sciancalepore, Vincenzo, Aijaz, Adnan, Kountouris, Marios, Gündüz, Deniz, Popovski, Petar, Sana, Mohamed, Stavrou, Photios A., Soret, Beatriz, Cordeschi, Nicola, Scardapane, Simone, Merluzzi, Mattia, Zanzi, Lanfranco, Renato, Mauro Boldi, Quek, Tony, di Pietro, Nicola, Forceville, Olivier, Costanzo, Francesca, Li, Peizheng
Recent advances in AI technologies have notably expanded device intelligence, fostering federation and cooperation among distributed AI agents. These advancements impose new requirements on future 6G mobile network architectures. To meet these demand
Externí odkaz:
http://arxiv.org/abs/2402.07573
Publikováno v:
Il Foro Italiano, 2000 Sep 01. 123(9), 2689/2690-2693/2694.
Externí odkaz:
https://www.jstor.org/stable/23197498
Autor:
Merluzzi, Mattia, Costanzo, Francesca, Katsanos, Konstantinos D., Alexandropoulos, George C., Di Lorenzo, Paolo
This work lies at the intersection of two cutting edge technologies envisioned to proliferate in future 6G wireless systems: Multi-access Edge Computing (MEC) and Reconfigurable Intelligent Surfaces (RISs). While the former will bring a powerful info
Externí odkaz:
http://arxiv.org/abs/2312.09944
Autor:
Binucci, Francesco, Merluzzi, Mattia, Banelli, Paolo, Strinati, Emilio Calvanese, Di Lorenzo, Paolo
Deep Neural Network (DNN) splitting is one of the key enablers of edge Artificial Intelligence (AI), as it allows end users to pre-process data and offload part of the computational burden to nearby Edge Cloud Servers (ECSs). This opens new opportuni
Externí odkaz:
http://arxiv.org/abs/2312.03555
Autor:
Román Sol-Rodríguez
Publikováno v:
Anuario de Historia de la Iglesia. 32:553-555
Book Review
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59504bbe7fccd99c15bd7d0ae8e62d8f
https://doi.org/10.15581/007.32.038
https://doi.org/10.15581/007.32.038