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1 Ergebnisse
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Identifying and extracting bark key features of 42 tree spe..:
Tae Kyung Kim
;
Jeonghyun Hong
;
Daun Ryu
...
https://doi.org/10.1038/s41598-022-08571-9. , 2022
Link:
https://doi.org/10.1038/s41598-022-08571-9
RT Journal T1
Identifying and extracting bark key features of 42 tree species using convolutional neural networks and class activation mapping
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:e5f96c9736eb412dac38950918852727&Exemplar=1&LAN=DE A1 Tae Kyung Kim A1 Jeonghyun Hong A1 Daun Ryu A1 Sukyung Kim A1 Si Yeon Byeon A1 Woojin Huh A1 Kunhyo Kim A1 Gyu Heon Baek A1 Hyun Seok Kim PB Nature Portfolio YR 2022 K1 Medicine K1 R K1 Science K1 Q JF https://doi.org/10.1038/s41598-022-08571-9 LK http://dx.doi.org/https://doi.org/10.1038/s41598-022-08571-9 DO https://doi.org/10.1038/s41598-022-08571-9 SF ELIB - SuUB Bremen
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