Zobrazeno 1 - 10
of 1 013
pro vyhledávání: '"Rucco A"'
Autor:
Perera-Lago, Javier, Toscano-Durán, Víctor, Paluzo-Hidalgo, Eduardo, Narteni, Sara, Rucco, Matteo
Machine learning algorithms are fundamental components of novel data-informed Artificial Intelligence architecture. In this domain, the imperative role of representative datasets is a cornerstone in shaping the trajectory of artificial intelligence (
Externí odkaz:
http://arxiv.org/abs/2404.09541
Autor:
Toscano-Durán, Víctor, Perera-Lago, Javier, Paluzo-Hidalgo, Eduardo, Gonzalez-Diaz, Rocío, Gutierrez-Naranjo, Miguel Ángel, Rucco, Matteo
In recent years, Deep Learning has gained popularity for its ability to solve complex classification tasks, increasingly delivering better results thanks to the development of more accurate models, the availability of huge volumes of data and the imp
Externí odkaz:
http://arxiv.org/abs/2403.15150
Autor:
M. A. Di Vito, I. Rucco, S. de Vita, D. M. Doronzo, M. Bisson, M. de' Michieli Vitturi, M. Rosi, L. Sandri, G. Zanchetta, E. Zanella, A. Costa
Publikováno v:
Solid Earth, Vol 15, Pp 405-436 (2024)
Lahars represent some of the most dangerous phenomena in volcanic areas for their destructive power, causing dramatic changes in the landscape with no premonitory signs and impacting the population and infrastructure. In this regard, the Campanian Pl
Externí odkaz:
https://doaj.org/article/53141d28816e4e138feec73b8436c3ce
Autor:
L. Sandri, M. de' Michieli Vitturi, A. Costa, M. A. Di Vito, I. Rucco, D. M. Doronzo, M. Bisson, R. Gianardi, S. de Vita, R. Sulpizio
Publikováno v:
Solid Earth, Vol 15, Pp 459-476 (2024)
In this study we present a novel general methodology for probabilistic volcanic hazard assessment (PVHA) for lahars. We apply the methodology to perform a probabilistic assessment in the Campanian Plain (southern Italy), focusing on syn-eruptive laha
Externí odkaz:
https://doaj.org/article/ed77f0a6ab674f70b57027f4722980c8
Autor:
Matteo Rucco, Javier Perera-Lago, Eduardo Paluzo-Hidalgo, Victor Toscano-Duran, Miguel A. Gutiérrez-Naranjo, Rocio Gonzalez-Diaz
Publikováno v:
Open Research Europe, Vol 4 (2024)
In recent years, deep learning has gained popularity for its ability to solve complex classification tasks. It provides increasingly better results thanks to the development of more accurate models, the availability of huge volumes of data and the im
Externí odkaz:
https://doaj.org/article/f4f9346ede664b448d5ec20b6aabbb83
Autor:
Enzo Pereira de Lima, Masaru Tanaka, Caroline Barbalho Lamas, Karina Quesada, Claudia Rucco P. Detregiachi, Adriano Cressoni Araújo, Elen Landgraf Guiguer, Virgínia Maria Cavallari Strozze Catharin, Marcela Vialogo Marques de Castro, Edgar Baldi Junior, Marcelo Dib Bechara, Bruna Fidencio Rahal Ferraz, Vitor Cavallari Strozze Catharin, Lucas Fornari Laurindo, Sandra Maria Barbalho
Publikováno v:
Biomedicines, Vol 12, Iss 9, p 2096 (2024)
The triad of vascular impairment, muscle atrophy, and cognitive decline represents critical age-related conditions that significantly impact health. Vascular impairment disrupts blood flow, precipitating the muscle mass reduction seen in sarcopenia a
Externí odkaz:
https://doaj.org/article/9ac72e8c04c94c089667270c9a86cd24
Autor:
Di Vito, Mauro Antonio1 (AUTHOR) mauro.divito@ingv.it, Rucco, Ilaria2 (AUTHOR), de Vita, Sandro1 (AUTHOR), Doronzo, Domenico Maria1 (AUTHOR), Bisson, Marina3 (AUTHOR), de' Michieli Vitturi, Mattia3 (AUTHOR), Rosi, Mauro4 (AUTHOR), Sandri, Laura5 (AUTHOR), Zanchetta, Giovanni4 (AUTHOR), Zanella, Elena6 (AUTHOR), Costa, Antonio5 (AUTHOR)
Publikováno v:
Solid Earth. 2024, Vol. 15 Issue 4, p405-436. 32p.
Autor:
Lucas Fornari Laurindo, Jefferson Aparecido Dias, Adriano Cressoni Araújo, Karina Torres Pomini, Cristiano Machado Galhardi, Claudia Rucco Penteado Detregiachi, Luíza Santos de Argollo Haber, Domingos Donizeti Roque, Marcelo Dib Bechara, Marcela Vialogo Marques de Castro, Eliana de Souza Bastos Mazuqueli Pereira, Ricardo José Tofano, Iris Jasmin Santos German Borgo, Sandra Maria Barbalho
Publikováno v:
Frontiers in Immunology, Vol 14 (2024)
The increasing life expectancy has led to a higher incidence of age-related neurodegenerative conditions. Within this framework, neuroinflammation emerges as a significant contributing factor. It involves the activation of microglia and astrocytes, l
Externí odkaz:
https://doaj.org/article/fa4eba0c37e44c5b9493b8dac172c818
Publikováno v:
In European Journal of Control November 2023 74
Glioblastoma multiforme (GBM) is a fast-growing and highly invasive brain tumour, it tends to occur in adults between the ages of 45 and 70 and it accounts for 52 percent of all primary brain tumours. Usually, GBMs are detected by magnetic resonance
Externí odkaz:
http://arxiv.org/abs/1912.08167