Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Luca Davoli"'
Publikováno v:
IEEE Access, Vol 12, Pp 121808-121821 (2024)
5G New Radio (NR), introduced in 2019 in the 3rd Generation Partnership Project (3GPP) Release 15, has become the global radio standard for 5G networks. Because of the presence of an increasing number of available 5G gNodeBs (gNBs), HandOver (HO) man
Externí odkaz:
https://doaj.org/article/0ff9098dd1a94fb0b66920409851d25d
Autor:
Emanuele Pagliari, Luca Davoli, Giordano Cicioni, Valentina Palazzi, Paolo Mezzanotte, Federico Alimenti, Luca Roselli, Gianluigi Ferrari
Publikováno v:
IEEE Access, Vol 12, Pp 7040-7062 (2024)
In this paper, the prototypical deployment of a Multiple-Input-Multiple-Output (MIMO) antennas system, denoted as Smart Selective Antennas System (SSAS), aiming at mitigating inter-cell interference effects of cellular networks for in-flight Unmanned
Externí odkaz:
https://doaj.org/article/516a14baca1c496ca7192b35b310d1e7
Autor:
Veronica Mattioli, Luca Davoli, Laura Belli, Sara Gambetta, Luca Carnevali, Andrea Sgoifo, Riccardo Raheli, Gianluigi Ferrari
Publikováno v:
Sensors, Vol 24, Iss 17, p 5479 (2024)
Driver Monitoring Systems (DMSs) play a key role in preventing hazardous events (e.g., road accidents) by providing prompt assistance when anomalies are detected while driving. Different factors, such as traffic and road conditions, might alter the p
Externí odkaz:
https://doaj.org/article/14b20b54581d4d7ebc3466c165bdb2a0
Publikováno v:
Data in Brief, Vol 52, Iss , Pp 109821- (2024)
The experimental dataset (organized in a semicolon-separated text format) is composed by air quality records collected over a 1-year period (October 2022-October 2023) in an indoor travelers’ transit area in the Brindisi airport, Italy. In detail,
Externí odkaz:
https://doaj.org/article/b6fc781b5da84e33a360bde360d34ba9
Publikováno v:
Chemical Engineering Transactions, Vol 91 (2022)
In the field of the Industrial Internet of Things (IIoT), strictly related to Industry 4.0, one of the main aspects to be carefully considered by the governing board of a manufacturing company is the safety level to be guaranteed to the workers insid
Externí odkaz:
https://doaj.org/article/6d42bf5731914fc59de3c1ad2469d984
Publikováno v:
Sensors, Vol 21, Iss 12, p 3973 (2021)
With the advent of the Smart Agriculture, the joint utilization of Internet of Things (IoT) and Machine Learning (ML) holds the promise to significantly improve agricultural production and sustainability. In this paper, the design of a Neural Network
Externí odkaz:
https://doaj.org/article/e3d5a935d793424aa925e1390cdbe277
Publikováno v:
Drones, Vol 5, Iss 2, p 26 (2021)
Unmanned Aerial Vehicles (UAVs) and small drones are nowadays being widely used in heterogeneous use cases: aerial photography, precise agriculture, inspections, environmental data collection, search-and-rescue operations, surveillance applications,
Externí odkaz:
https://doaj.org/article/6d7c720e7db04804b04ef3b39b7d7e77
Publikováno v:
SoftwareX, Vol 10, Iss , Pp - (2019)
Evaluating novel applications and protocols in realistic scenarios has always been a very important task for all stakeholders working in the networking field. Network emulation, being a trade-off between actual deployment and simulations, represents
Externí odkaz:
https://doaj.org/article/f66b1a7855584bd985c17e9e51962eb2
Autor:
Luca Davoli, Ioannis Paraskevopoulos, Cinzia Campanella, Stefano Bauro, Tommaso Vio, Andrea Abrardo, Gianluigi Ferrari
Publikováno v:
Sensors, Vol 21, Iss 4, p 1329 (2021)
One of the sectors that is expected to significantly benefit from 5G network deployment is eXtended Reality (XR). Besides the very high bandwidth, reliability, and Quality of Service (QoS) to be delivered to end users, XR also requires accurate envir
Externí odkaz:
https://doaj.org/article/288a4ca4ac93466494c1e5230262659f
Autor:
Luca Davoli, Marco Martalò, Antonio Cilfone, Laura Belli, Gianluigi Ferrari, Roberta Presta, Roberto Montanari, Maura Mengoni, Luca Giraldi, Elvio G. Amparore, Marco Botta, Idilio Drago, Giuseppe Carbonara, Andrea Castellano, Johan Plomp
Publikováno v:
Safety, Vol 6, Iss 4, p 55 (2020)
Advanced Driver-Assistance Systems (ADASs) are used for increasing safety in the automotive domain, yet current ADASs notably operate without taking into account drivers’ states, e.g., whether she/he is emotionally apt to drive. In this paper, we f
Externí odkaz:
https://doaj.org/article/a891264787d649458bc2a34dd2afa1de