Zobrazeno 1 - 10
of 1 655
pro vyhledávání: '"A. Merluzzi"'
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
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:
Di Lorenzo, Paolo, Merluzzi, Mattia, Binucci, Francesco, Battiloro, Claudio, Banelli, Paolo, Strinati, Emilio Calvanese, Barbarossa, Sergio
Internet of Things (IoT) applications combine sensing, wireless communication, intelligence, and actuation, enabling the interaction among heterogeneous devices that collect and process considerable amounts of data. However, the effectiveness of IoT
Externí odkaz:
http://arxiv.org/abs/2310.13948
Autor:
Merluzzi, Mattia, Filippou, Miltiadis C., Baltar, Leonardo Gomes, Muek, Markus D., Strinati, Emilio Calvanese
6G will connect heterogeneous intelligent agents to make them operate complex cooperative tasks. When connecting intelligence, two main research questions arise to identify how AI and ML models behave depending on: i) their input data quality, affect
Externí odkaz:
http://arxiv.org/abs/2308.13358
Publikováno v:
2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5
In this paper, we propose a novel algorithm for energy-efficient, low-latency, accurate inference at the wireless edge, in the context of 6G networks endowed with reconfigurable intelligent surfaces (RISs). We consider a scenario where new data are c
Externí odkaz:
http://arxiv.org/abs/2305.10931