Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Luca Dall'Asta"'
Publikováno v:
Vision, Vol 8, Iss 3, p 48 (2024)
Computer vision is a powerful tool in medical image analysis, supporting the early detection and classification of eye diseases. Diabetic retinopathy (DR), a severe eye disease secondary to diabetes, accompanies several early signs of eye-threatening
Externí odkaz:
https://doaj.org/article/c82f07043fbc489ea3a12799d9cb7f06
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Estimating observables from conditioned dynamics is typically computationally hard. While obtaining independent samples efficiently from unconditioned dynamics is usually feasible, most of them do not satisfy the imposed conditions and must
Externí odkaz:
https://doaj.org/article/3c7cc8ebb24242e0badfe41831a7aa3d
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract The reconstruction of missing information in epidemic spreading on contact networks can be essential in the prevention and containment strategies. The identification and warning of infectious but asymptomatic individuals (i.e., contact traci
Externí odkaz:
https://doaj.org/article/c1b6734d88bf445bb13558d835c27a8f
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 3225-3233 (2021)
Compartmentalization of cellular functions is at the core of the physiology of eukaryotic cells. Recent evidences indicate that a universal organizing process – phase separation – supports the partitioning of biomolecules in distinct phases from
Externí odkaz:
https://doaj.org/article/8c20a8a3ca2c4dbdb68216deab28daa7
Publikováno v:
PLoS ONE, Vol 12, Iss 4, p e0176376 (2017)
The massive employment of computational models in network epidemiology calls for the development of improved inference methods for epidemic forecast. For simple compartment models, such as the Susceptible-Infected-Recovered model, Belief Propagation
Externí odkaz:
https://doaj.org/article/61de639eeb39440d9b8bced5608f14a3
Autor:
Deborah Beghè, Luca Dall'Asta, Claudia Garavelli, Augusto Alberto Pastorelli, Marilena Muscarella, Gloria Saccani, Marina Aiello, Ernesto Crisafulli, Massimo Corradi, Paolo Stacchini, Alfredo Chetta, Giuseppina Bertorelli
Publikováno v:
PLoS ONE, Vol 12, Iss 5, p e0176859 (2017)
Sarcoidosis is a systemic granulomatous inflammatory disease whose causes are still unknown and for which epidemiological data are often discordant. The aim of our study is to investigate prevalence and spatial distribution of cases, and identify env
Externí odkaz:
https://doaj.org/article/e2f604ce3dc145478f969a68f257494d
Publikováno v:
PLoS ONE, Vol 10, Iss 7, p e0119286 (2015)
We study a class of games which models the competition among agents to access some service provided by distributed service units and which exhibits congestion and frustration phenomena when service units have limited capacity. We propose a technique,
Externí odkaz:
https://doaj.org/article/000f0650d952476493b08d2412f7225d
Publikováno v:
PLoS ONE, Vol 10, Iss 12, p e0145222 (2015)
We present a message-passing algorithm to solve a series of edge-disjoint path problems on graphs based on the zero-temperature cavity equations. Edge-disjoint paths problems are important in the general context of routing, that can be defined by inc
Externí odkaz:
https://doaj.org/article/97c56a1b3a6a4a70995d92c6e7537fc5
Autor:
Shiwen Yang, Andrea Massa, Nicola Anselmi, Aaron A. Salas-Sanchez, Paolo Rocca, Lorenzo Poli, Giacomo Oliveri, Giorgio Gottardi, Alessandro Polo, Luca Dall’Asta, Marco Salucci, Huang Jin, Sotirios K. Goudos, Mohammad Abdul Hannan, Maokun Li
Publikováno v:
IEEE Antennas and Propagation Magazine. 62:50-61
Innovative teaching methods that address paramount challenges in modern electromagnetic (EM) engineering education are presented. An entire ecosystem of novel and interconnected strategies and tools has been developed by the ELEDIA Research Center to
Autor:
Luca Dall’Asta, Georg Egger
Publikováno v:
Ambient Intelligence – Software and Applications – 12th International Symposium on Ambient Intelligence ISBN: 9783031068935
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b12d6480c09aa246d5e88aca01d9e81
https://doi.org/10.1007/978-3-031-06894-2_8
https://doi.org/10.1007/978-3-031-06894-2_8