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An energy-efficient AkidaNet for morphologically similar we..:
, In:
2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
,
Le, Vi Nguyen Thanh
;
Tsiknos, Kevin
;
Carlson, Kristofor D.
. - p. 1-8 , 2022
Link:
https://doi.org/10.1109/DICTA56598.2022.10034619
RT T1 <cTitle>2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA)</cTitle>: T1 <Title>An energy-efficient AkidaNet for morphologically similar weeds and crops recognition at the Edge</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10034619&Exemplar=1&LAN=DE A1 Le, Vi Nguyen Thanh A1 Tsiknos, Kevin A1 Carlson, Kristofor D. A1 Ahderom, Selam YR 2022 K1 Performance evaluation K1 Productivity K1 Neuromorphics K1 Computational modeling K1 Image edge detection K1 Neural networks K1 Crops K1 Morphology K1 Energy efficiency K1 Low latency communication K1 AkidaNet K1 MobileNetV1 K1 Edge AI K1 Broadleaf Weed identification K1 Smart farming SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/DICTA56598.2022.10034619 DO https://doi.org/10.1109/DICTA56598.2022.10034619 SF ELIB - SuUB Bremen
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