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1 Ergebnisse
1
Using a Two-Stage HOG-SVM / CNN Model to Identify and Class..:
, In:
2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
,
Harris, Christopher G.
;
Andika, Ignatius P.
;
Trisyono, Y. Andi
- p. 1-6 , 2022
Link:
https://doi.org/10.1109/IATMSI56455.2022.10119374
RT T1
2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
: T1
Using a Two-Stage HOG-SVM / CNN Model to Identify and Classify Forms of Brown Planthoppers
UL https://suche.suub.uni-bremen.de/peid=ieee-10119374&Exemplar=1&LAN=DE A1 Harris, Christopher G. A1 Andika, Ignatius P. A1 Trisyono, Y. Andi YR 2022 K1 Support vector machines K1 Technological innovation K1 Histograms K1 Insects K1 Crops K1 Predictive models K1 CNN K1 ConvNet K1 Histograms of Oriented Gradients K1 VGG-19 K1 SVM K1 pest identification K1 insect lifecycle classification K1 brown planthopper SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/IATMSI56455.2022.10119374 DO https://doi.org/10.1109/IATMSI56455.2022.10119374 SF ELIB - SuUB Bremen
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