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Towards an IoT-based Deep Learning Architecture for Camera ..:
, In:
2020 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)
,
Zualkernan, Imran A.
;
Dhou, Salam
;
Judas, Jacky
... - p. 1-6 , 2020
Link:
https://doi.org/10.1109/GCAIoT51063.2020.9345858
RT T1 <cTitle>2020 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)</cTitle>: T1 <Title>Towards an IoT-based Deep Learning Architecture for Camera Trap Image Classification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9345858&Exemplar=1&LAN=DE A1 Zualkernan, Imran A. A1 Dhou, Salam A1 Judas, Jacky A1 Sajun, Ali Reza A1 Gomez, Brylle Ryan A1 Hussain, Lana Alhaj A1 Sakhnini, Dara YR 2020 K1 Deep learning K1 Economic indicators K1 Animals K1 Cameras K1 Biodiversity K1 Biomedical monitoring K1 Monitoring K1 deep learning K1 transfer learning K1 convolutional neural networks K1 animal classification K1 camera trap K1 wildlife monitoring K1 edge computing K1 TensorFlow lite K1 raspberry pi K1 IoT SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/GCAIoT51063.2020.9345858 DO https://doi.org/10.1109/GCAIoT51063.2020.9345858 SF ELIB - SuUB Bremen
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