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pro vyhledávání: '"Fabrizio Indirli"'
Autor:
Marcello Zanghieri, Fabrizio Indirli, Antonio Latella, Giacomo Michele Puglia, Felice Tecce, Francesco Papariello, Giulio Urlini, Luca Benini, Francesco Conti
Publikováno v:
IEEE Access, Vol 12, Pp 16009-16021 (2024)
Modern manufacturing industry relies on complex machinery that requires skills, attention, and precise safety certifications. Protecting operators in the machine’s surroundings while at the same time reducing the impact on the normal workflow is a
Externí odkaz:
https://doaj.org/article/58c94515145d43f98d0cda64f6cd2430
Autor:
Francesco Conti, Fabrizio Indirli, Antonio Latella, Francesco Papariello, Giacomo Michele Puglia, Felice Tecce, Giulio Urlini, Marcello Zanghieri
Publikováno v:
Artificial Intelligence for Digitising Industry – Applications ISBN: 9781003337232
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b934b668e5074d0affeb859ab11f715
http://hdl.handle.net/11311/1185753
http://hdl.handle.net/11311/1185753
Publikováno v:
ICECS
2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
The acceleration of Convolutional Neural Networks (CNNs) on FPGAs is becoming increasingly popular for computer vision tasks. However, the limited memory and bandwidth of these devices pose some challenges to the design of conventional CNN accelerato