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Prediction method of Internet of things operation index bas..:
, In:
2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA)
,
Li, Moyan
;
Cao, Ning
;
Lu, Hao
. - p. 119-123 , 2022
Link:
https://doi.org/10.1109/CVIDLICCEA56201.2022.9825292
RT T1
2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA)
: T1
Prediction method of Internet of things operation index based on improved Support vector machine regression model
UL https://suche.suub.uni-bremen.de/peid=ieee-9825292&Exemplar=1&LAN=DE A1 Li, Moyan A1 Cao, Ning A1 Lu, Hao A1 Gao, Fan YR 2022 K1 Support vector machines K1 Radio frequency K1 Computational modeling K1 Predictive models K1 Prediction algorithms K1 Feature extraction K1 Data models K1 Local IOT operation indicators K1 Climate K1 Random forest K1 Particle swarm optimization K1 Support vector machine regression SP 119 OP 123 LK http://dx.doi.org/https://doi.org/10.1109/CVIDLICCEA56201.2022.9825292 DO https://doi.org/10.1109/CVIDLICCEA56201.2022.9825292 SF ELIB - SuUB Bremen
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