Zobrazeno 1 - 10
of 66
pro vyhledávání: '"ALESSANDRO GIUSEPPI"'
Publikováno v:
IEEE Access, Vol 11, Pp 80613-80623 (2023)
This paper presents a Federated Learning (FL) algorithm that allows the decentralization of all FL solutions that employ a model-averaging procedure. The proposed algorithm proves to be capable of attaining faster convergence rates and no performance
Externí odkaz:
https://doaj.org/article/315f660d58c7443880e59aaac266bb4d
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 3, p 035059 (2024)
Chaos detection is the problem of identifying whether a series of measurements is being sampled from an underlying set of chaotic dynamics. The unavoidable presence of measurement noise significantly affects the performance of chaos detectors, as dis
Externí odkaz:
https://doaj.org/article/984fb5e56ecc4b178b1bde411ba04938
Publikováno v:
IEEE Access, Vol 10, Pp 92681-92691 (2022)
Federated Learning (FL) is a distributed machine learning technique which enables local learning of global machine learning models without the need of exchanging data. The original FL algorithm, Federated Averaging (FedAvg), is extended in this work
Externí odkaz:
https://doaj.org/article/5485c628e0b64a16b28ccffd13b2c5ec
Autor:
Junhyeong Kim, Guido Casati, Nicolas Cassiau, Antonio Pietrabissa, Alessandro Giuseppi, Dong Yan, Emilio Calvanese Strinati, Marjorie Thary, Danping He, Ke Guan, Heesang Chung, Ilgyu Kim
Publikováno v:
ETRI Journal, Vol 42, Iss 5, Pp 669-688 (2020)
5G AgiLe and fLexible integration of SaTellite And cellulaR (5G‐ALLSTAR) is a Korea‐Europe (KR‐EU) collaborative project for developing multi‐connectivity (MC) technologies that integrate cellular and satellite networks to provide seamless, r
Externí odkaz:
https://doaj.org/article/7af0c916972d4fbeb16e56d710237003
Autor:
Emilio Calvanese Strinati, Sergio Barbarossa, Taesang Choi, Antonio Pietrabissa, Alessandro Giuseppi, Emanuele De Santis, Josep Vidal, Zdenek Becvar, Thomas Haustein, Nicolas Cassiau, Francesca Costanzo, Junhyeong Kim, Ilgyu Kim
Publikováno v:
ETRI Journal, Vol 42, Iss 5, Pp 643-657 (2020)
AbstractSixth generation will exploit satellite, aerial, and terrestrial platforms jointly to improve radio access capability and unlock the support of on‐demand edge cloud services in three‐dimensional (3D) space, by incorporating mobile edge co
Externí odkaz:
https://doaj.org/article/a94346d5717a421f8f6b5041a773e913
Autor:
Alessandro Giuseppi, Roberto Germanà, Federico Fiorini, Francesco Delli Priscoli, Antonio Pietrabissa
Publikováno v:
Drones, Vol 5, Iss 4, p 130 (2021)
Fire monitoring and early detection are critical tasks in which Unmanned Aerial Vehicles (UAVs) are commonly employed. This paper presents a system to plan the drone patrolling schedule according to a real-time estimation of a fire propagation index
Externí odkaz:
https://doaj.org/article/04e6adf5c00a4fd198ce622918d10318
Autor:
Roberto Germanà, Francesco Liberati, Emanuele De Santis, Alessandro Giuseppi, Francesco Delli Priscoli, Alessandro Di Giorgio
Publikováno v:
Energies, Vol 14, Iss 23, p 7879 (2021)
This paper presents a novel control system for the participation of plug-in electric vehicles (PEVs) in the provisioning of ancillary services for frequency regulation, in a way that is transparent to the driver and harmonized with the smart charging
Externí odkaz:
https://doaj.org/article/728cfe3faae747388b4371fc6aa3b4d5
Publikováno v:
Sensors, Vol 20, Iss 24, p 7228 (2020)
In the last few years, with the exponential diffusion of smartphones, services for turn-by-turn navigation have seen a surge in popularity. Current solutions available in the market allow the user to select via an interface the desired transportation
Externí odkaz:
https://doaj.org/article/9e39b2471c4a43d29ca3faa0f23ca25b
Publikováno v:
Control Theory and Technology. 20:323-337
The aim of this work is to develop a robust control strategy able to drive the attitude of a spacecraft to a reference value, despite the presence of unknown but bounded uncertainties in the system parameters and external disturbances. Thanks to the
Publikováno v:
Internet of Things and Cyber-Physical Systems.