Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Matteo Sereno"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Predicting epidemic evolution is essential for making informed decisions and guiding the implementation of necessary countermeasures. Computational models are vital tools that provide insights into illness progression and enable early detect
Externí odkaz:
https://doaj.org/article/4095c8bf4a244ed1a022935e7f521c8c
Autor:
Simone Pernice, Paolo Castagno, Linda Marcotulli, Milena Maria Maule, Lorenzo Richiardi, Giovenale Moirano, Matteo Sereno, Francesca Cordero, Marco Beccuti
Publikováno v:
BMC Infectious Diseases, Vol 20, Iss 1, Pp 1-9 (2020)
Abstract Background Severe acute respiratory syndrome coronavirus 2 (SARS-COV-2), the causative agent of the coronavirus disease 19 (COVID-19), is a highly transmittable virus. Since the first person-to-person transmission of SARS-CoV-2 was reported
Externí odkaz:
https://doaj.org/article/b54e6fb8c410476b94ecbadcc5964e3f
Autor:
Paolo Castagno, Simone Pernice, Gianni Ghetti, Massimiliano Povero, Lorenzo Pradelli, Daniela Paolotti, Gianfranco Balbo, Matteo Sereno, Marco Beccuti
Publikováno v:
BMC Bioinformatics, Vol 21, Iss S8, Pp 1-32 (2020)
Abstract Background Emerging and re-emerging infectious diseases such as Zika, SARS, ncovid19 and Pertussis, pose a compelling challenge for epidemiologists due to their significant impact on global public health. In this context, computational model
Externí odkaz:
https://doaj.org/article/507104d11ad241ad8d1708e0ccb7a53c
Publikováno v:
IMDEA Networks Institute Digital Repository
IMDEA Networks Institute
IEEE Transactions on Network and Service Management
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
IMDEA Networks Institute
IEEE Transactions on Network and Service Management
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
instname
e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
In Press/En prensa In this article, we develop a modeling framework to describe the uplink behavior of radio access in a sliced cell, including most features of the standard 3GPP multiple access procedures. Our model allows evaluating throughput and
Autor:
Daniele Baccega, Simone Pernice, Pietro Terna, Paolo Castagno, Giovenale Moirano, Lorenzo Richiardi, Matteo Sereno, Sergio Rabellino, Milena Maria Maule, Marco Beccuti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e671368f8a10c5a0e6ed9ed12432bd9
http://hdl.handle.net/2318/1875158
http://hdl.handle.net/2318/1875158
Publikováno v:
e-Energy
IMDEA Networks Institute Digital Repository
instname
IMDEA Networks Institute
IMDEA Networks Institute Digital Repository
instname
IMDEA Networks Institute
We study average performance and costs for routing service requests in a virtualized environment, where either the MEC or the Cloud can serve user's requests. Employing a simple yet precise analytical model validated via simulation, we focus on laten
Publikováno v:
WOWMOM
IMDEA Networks Institute Digital Repository
instname
2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
IMDEA Networks Institute
IMDEA Networks Institute Digital Repository
instname
2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)
e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
IMDEA Networks Institute
Proceedings of: IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 7-11 June 2021, Pisa, Italy. We consider a slice of a radio access network where human and machine users access services with either hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5283b668590e3495e44c1fcb5d3fa490
https://hdl.handle.net/20.500.12761/950
https://hdl.handle.net/20.500.12761/950
Publikováno v:
IMDEA Networks Institute Digital Repository
instname
IMDEA Networks Institute
instname
IMDEA Networks Institute
An experience common to smartphone users is the difficulty in accessing services in crowded scenarios, such as a rock concert or a football match. In these cases, to (partially) mitigate frustration, users generically claim that network congestion is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ea459b255c150669cfc6a563c6810cd3
http://hdl.handle.net/20.500.12761/769
http://hdl.handle.net/20.500.12761/769
Autor:
Lorenzo Pradelli, Gianfranco Balbo, Simone Pernice, Matteo Sereno, Gianni Ghetti, Paolo Castagno, Massimiliano Povero, Daniela Paolotti, Marco Beccuti
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 21, Iss S8, Pp 1-32 (2020)
BMC Bioinformatics, Vol 21, Iss S8, Pp 1-32 (2020)
Background Emerging and re-emerging infectious diseases such as Zika, SARS, ncovid19 and Pertussis, pose a compelling challenge for epidemiologists due to their significant impact on global public health. In this context, computational models and com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::064c76236ffc72d18d75b0875bf539ad
http://hdl.handle.net/2318/1759507
http://hdl.handle.net/2318/1759507
Publikováno v:
IMDEA Networks Institute Digital Repository
instname
IMDEA Networks Institute
instname
IMDEA Networks Institute
In this paper we develop a simple, yet accurate, performance model to understand if and how evolutions of standard cellular network protocols can be exploited to allow large numbers of machine type devices to access transmission resources with short
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8be8da971a595b80d02dfc3086f9addb
http://hdl.handle.net/20.500.12761/873
http://hdl.handle.net/20.500.12761/873