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1 Ergebnisse
1
Development of a Deep-Learning Pipeline to Detect and Locat..:
, In:
2023 IEEE Conference on AgriFood Electronics (CAFE)
,
Musumeci, Margherita
;
Amaya Cano, Juan Sebastian
;
Lazzati, Filippo
... - p. 45-49 , 2023
Link:
https://doi.org/10.1109/CAFE58535.2023.10291829
RT T1
2023 IEEE Conference on AgriFood Electronics (CAFE)
: T1
Development of a Deep-Learning Pipeline to Detect and Locate Contaminants of Industrial Products via non-Invasive Microwave Signals
UL https://suche.suub.uni-bremen.de/peid=ieee-10291829&Exemplar=1&LAN=DE A1 Musumeci, Margherita A1 Amaya Cano, Juan Sebastian A1 Lazzati, Filippo A1 Martano, Chiara A1 Pappone, Francesco A1 Ramonda, Claudio A1 Ricci, Marco A1 Tobon, Jorge A. A1 Turvani, Giovanna A1 Casu, Mario R. A1 Mussetta, Marco A1 Vipiana, Francesca YR 2023 K1 Microwave technology K1 Sociology K1 Pipelines K1 Food industry K1 Machine learning K1 Graph neural networks K1 Sensors K1 microwave sensing K1 machine learning K1 imaging K1 graph neural networks K1 food technology SP 45 OP 49 LK http://dx.doi.org/https://doi.org/10.1109/CAFE58535.2023.10291829 DO https://doi.org/10.1109/CAFE58535.2023.10291829 SF ELIB - SuUB Bremen
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