Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Indaco Biazzo"'
Autor:
Indaco Biazzo
Publikováno v:
Communications Physics, Vol 6, Iss 1, Pp 1-10 (2023)
Abstract Autoregressive Neural Networks (ARNNs) have shown exceptional results in generation tasks across image, language, and scientific domains. Despite their success, ARNN architectures often operate as black boxes without a clear connection to un
Externí odkaz:
https://doaj.org/article/b04172b7a86e40118e2b424e5b7c0e6c
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:
Machine Learning: Science and Technology, Vol 5, Iss 2, p 025074 (2024)
Efficient sampling and approximation of Boltzmann distributions involving large sets of binary variables, or spins, are pivotal in diverse scientific fields even beyond physics. Recent advances in generative neural networks have significantly impacte
Externí odkaz:
https://doaj.org/article/87085eec04d8475dbd52732e3e432d18
Publikováno v:
Royal Society Open Science, Vol 6, Iss 8 (2019)
In the last decades, the acceleration of urban growth has led to an unprecedented level of urban interactions and interdependence. This situation calls for a significant effort among the scientific community to come up with engaging and meaningful vi
Externí odkaz:
https://doaj.org/article/f9c04ee93afe484aa4c3ba795ad529cf
Autor:
Indaco Biazzo
Publikováno v:
Complex Networks & Their Applications X ISBN: 9783030934125
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbdbeaf0043c0a10eefd1c128a1474f9
http://hdl.handle.net/11583/2954813
http://hdl.handle.net/11583/2954813
Publikováno v:
Journal of Physics: Complexity, 2(3). IOP Publishing Ltd
Characterizing the efficiency of movements is important for a better management of the cities. More specifically, the connection between the efficiency and uncertainty (entropy) production of a transport process is not established yet. In this study,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41a3a172703bd3fa31b5b4155babbf06
http://hdl.handle.net/11583/2955136
http://hdl.handle.net/11583/2955136
Autor:
Indaco Biazzo, Abolfazl Ramezanpour
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-8 (2020)
Scientific Reports
Scientific Reports
We know that maximal efficiency in physical systems is attained by reversible processes. It is then interesting to see how irreversibility affects efficiency in other systems, e.g., in a city. In this study, we focus on a cyclic process of movements
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7dffc98ecccf25a282593012d247277
https://doi.org/10.1038/s41598-020-60744-6
https://doi.org/10.1038/s41598-020-60744-6
Supplementary Information for General scores for accessibility and inequalities in urban areas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09fa271102ad83cc467fb201df100f9f
Autor:
Marialisa Nigro, Carlo Liberto, Marina Ferrara, Bernardo Monechi, Indaco Biazzo, Gaetano Valenti
Publikováno v:
MT-ITS
In this paper we describe a simulation tool developed to study city wide scenarios of e-mobility. The tool is intended to support e-mobility stakeholders in finding effective solutions to facilitate a widespread and sustainable EV adoption in urban a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0534682f14c24e2eb384a47383b60b1c
http://hdl.handle.net/20.500.12079/54295
http://hdl.handle.net/20.500.12079/54295
Publikováno v:
Royal Society Open Science, Vol 6, Iss 8 (2019)
Royal Society Open Science
Royal Society Open Science
In the last decades, the acceleration of urban growth has led to an unprecedented level of urban interactions and interdependence. This situation calls for a significant effort among the scientific community to come up with engaging and meaningful vi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8454ba38bfac66bf14440cfc2d2a28ac