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1 Ergebnisse
1
Comparing Supervised Machine-Learning Algorithms to Measure..:
, In:
2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
,
Taborri, Juri
;
Melloni, Daniele
;
Zingoni, Andrea
... - p. 127-131 , 2023
Link:
https://doi.org/10.1109/MetroXRAINE58569.2023.10405783
RT T1
2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
: T1
Comparing Supervised Machine-Learning Algorithms to Measure the Number of Technical Actions in Industrial Environments
UL https://suche.suub.uni-bremen.de/peid=ieee-10405783&Exemplar=1&LAN=DE A1 Taborri, Juri A1 Melloni, Daniele A1 Zingoni, Andrea A1 Marcolin, Francesco A1 Bertoz, Alessandro A1 Bordignon, Marco A1 Rossi, Stefano YR 2023 K1 Support vector machines K1 Biomechanics K1 Wrist K1 Musculoskeletal system K1 Feature extraction K1 Kernel K1 Random forests K1 musculoskeletal disorders K1 inertial sensors K1 machine-learning K1 repetitive actions K1 OCRA SP 127 OP 131 LK http://dx.doi.org/https://doi.org/10.1109/MetroXRAINE58569.2023.10405783 DO https://doi.org/10.1109/MetroXRAINE58569.2023.10405783 SF ELIB - SuUB Bremen
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