Zobrazeno 1 - 10
of 242
pro vyhledávání: '"Fraternali, Piero"'
Publikováno v:
Machines 2024, 12(6), 357
Non-neural Machine Learning (ML) and Deep Learning (DL) models are often used to predict system failures in the context of industrial maintenance. However, only a few researches jointly assess the effect of varying the amount of past data used to mak
Externí odkaz:
http://arxiv.org/abs/2402.17804
In both industrial and residential contexts, compressor-based machines, such as refrigerators, HVAC systems, heat pumps and chillers, are essential to fulfil production and consumers' needs. The diffusion of sensors and IoT connectivity supports the
Externí odkaz:
http://arxiv.org/abs/2402.17802
The detection and characterization of illegal solid waste disposal sites are essential for environmental protection, particularly for mitigating pollution and health hazards. Improperly managed landfills contaminate soil and groundwater via rainwater
Externí odkaz:
http://arxiv.org/abs/2402.09066
Publikováno v:
Neural Comput & Applic (2023)
Gravitational lensing is the relativistic effect generated by massive bodies, which bend the space-time surrounding them. It is a deeply investigated topic in astrophysics and allows validating theoretical relativistic results and studying faint astr
Externí odkaz:
http://arxiv.org/abs/2205.00701
The application of Deep Neural Networks (DNNs) to a broad variety of tasks demands methods for coping with the complex and opaque nature of these architectures. When a gold standard is available, performance assessment treats the DNN as a black box a
Externí odkaz:
http://arxiv.org/abs/2201.06444
Autor:
Cellina, Francesca, Fraternali, Piero, Herrera Gonzalez, Sergio Luis, Novak, Jasminko, Gui, Marco, Rizzoli, Andrea Emilio
Publikováno v:
In Applied Energy 1 February 2024 355
Autor:
Milani, Federico, Fraternali, Piero
Publikováno v:
Journal on Computing and Cultural Heritage (JOCCH), 2021, 14.4: 1-18
Iconography in art is the discipline that studies the visual content of artworks to determine their motifs and themes andto characterize the way these are represented. It is a subject of active research for a variety of purposes, including the interp
Externí odkaz:
http://arxiv.org/abs/2010.11697
Autor:
Pinciroli Vago, Nicolò Oreste1,2 (AUTHOR) nicolooreste.pinciroli@polimi.it, Fraternali, Piero1 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Sep2023, Vol. 35 Issue 26, p19253-19277. 25p.
Publikováno v:
Machines; Jun2024, Vol. 12 Issue 6, p357, 28p
In this paper we study the problem of estimating snow cover in mountainous regions, that is, the spatial extent of the earth surface covered by snow. We argue that publicly available visual content, in the form of user generated photographs and image
Externí odkaz:
http://arxiv.org/abs/1508.01055