Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Nicolò Oreste Pinciroli Vago"'
Publikováno v:
Machines, Vol 12, Iss 6, p 357 (2024)
Non-neural machine learning (ML) and deep learning (DL) are used to predict system failures in industrial maintenance. However, only a few studies have assessed the effect of varying the amount of past data used to make a prediction and the extension
Externí odkaz:
https://doaj.org/article/41017e77cbc943ed979ceb213fa2986d
Autor:
Niccolò Zangrando, Piero Fraternali, Marco Petri, Nicolò Oreste Pinciroli Vago, Sergio Luis Herrera González
Publikováno v:
Energy Informatics, Vol 5, Iss S4, Pp 1-22 (2022)
Abstract The diffusion of domotics solutions and of smart appliances and meters enables the monitoring of energy consumption at a very fine level and the development of forecasting and diagnostic applications. Anomaly detection (AD) in energy consump
Externí odkaz:
https://doaj.org/article/41ff07aadbbe44c996887f7949bea8c1
Publikováno v:
Journal of Imaging, Vol 8, Iss 8, p 215 (2022)
Object Detection requires many precise annotations, which are available for natural images but not for many non-natural data sets such as artworks data sets. A solution is using Weakly Supervised Object Detection (WSOD) techniques that learn accurate
Externí odkaz:
https://doaj.org/article/7ed3fadfe6c24c9d8c3afd78db2e744b
Publikováno v:
Journal of Imaging, Vol 7, Iss 7, p 106 (2021)
Iconography studies the visual content of artworks by considering the themes portrayed in them and their representation. Computer Vision has been used to identify iconographic subjects in paintings and Convolutional Neural Networks enabled the effect
Externí odkaz:
https://doaj.org/article/126159760c7c40a39ebc0441a5035fa6
Publikováno v:
Proceedings of Science (PoS)
The presence of non-zero helicity in intergalactic magnetic fields is a smoking gun for their primordial origin since they have to be generated by processes that break CP invariance. As an experimental signature for the presence of helical magnetic f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa17862faab71a42435bbed2de582f0b
Autor:
Niccolò Zangrando, Piero Fraternali, Rocio Nahime Torres, Marco Petri, Nicolò Oreste Pinciroli Vago, Sergio Herrera
Publikováno v:
Marco Petri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::fb73ed248a6e94445b2301cac36f212b
https://project.inria.fr/aaltd22/files/2022/08/AALTD22_paper_3710.pdf
https://project.inria.fr/aaltd22/files/2022/08/AALTD22_paper_3710.pdf
Autor:
Niccolò Zangrando, Piero Fraternali, Marco Petri, Nicolò Oreste Pinciroli Vago, Sergio Luis Herrera González
Publikováno v:
Energy Informatics. 5(S4)
The diffusion of domotics solutions and of smart appliances and meters enables the monitoring of energy consumption at a very fine level and the development of forecasting and diagnostic applications. Anomaly detection (AD) in energy consumption data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91a48b7f02b3fc5fd618807cfd45a287