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1 Ergebnisse
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The Human Activity Radar Challenge: benchmarking based on t..:
Yang, Shufan
;
Kernec, Julien Le
;
Romain, Olivier
...
doi:https://doi.org/10.1109/jbhi.2023.3240895. , 2023
Link:
https://doi.org/10.1109/jbhi.2023.3240895
RT Journal T1
The Human Activity Radar Challenge: benchmarking based on the 'Radar signatures of human activities' dataset from Glasgow University
UL https://suche.suub.uni-bremen.de/peid=base-ftnapieruniv:oai:repository@napier.ac.uk:3014585&Exemplar=1&LAN=DE A1 Yang, Shufan A1 Kernec, Julien Le A1 Romain, Olivier A1 Fioranelli, Francesco A1 Cadart, Pierre A1 Fix, Jeremy A1 Ren, Chenfang A1 Manfredi, Giovanni A1 Letertre, Thierry A1 Saenz, Israel David Hinostroza A1 Zhang, Jifa A1 Liang, Huaiyuan A1 Wang, Xiangrong A1 Li, Gang A1 Chen, Zhaoxi A1 Liu, Kang A1 Chen, Xiaolong A1 Li, Jiefang A1 Wu, Xing A1 Chen, Yichang A1 Jin, Tian PB Institute of Electrical and Electronics Engineers YR 2023 K1 Human activity classification K1 radar K1 machine learning K1 convolutional neural networks JF doi:https://doi.org/10.1109/jbhi.2023.3240895 LK http://dx.doi.org/https://doi.org/10.1109/jbhi.2023.3240895 DO https://doi.org/10.1109/jbhi.2023.3240895 SF ELIB - SuUB Bremen
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