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1
On the Variants of SVM Methods Applied to GPR Data to Class..:
, In:
2023 12th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)
,
Andreoli, Gregory
;
Ihamouten, Amine
;
Nguyen, Mai Lan
... - p. 1-5 , 2023
Link:
https://doi.org/10.1109/IWAGPR57138.2023.10329070
RT T1
2023 12th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)
: T1
On the Variants of SVM Methods Applied to GPR Data to Classify Tack Coat Characteristics in French Pavements: Two Experimental Case Studies
UL https://suche.suub.uni-bremen.de/peid=ieee-10329070&Exemplar=1&LAN=DE A1 Andreoli, Gregory A1 Ihamouten, Amine A1 Nguyen, Mai Lan A1 Fargier, Yannick A1 Fauchard, Cyrille A1 Simonin, Jean-Michel A1 Buliuk, Viktoriia A1 Souriou, David A1 Derobert, Xavier YR 2023 SN 2687-7899 K1 Support vector machines K1 Time-frequency analysis K1 Ground penetrating radar K1 Sensitivity K1 Roads K1 Supervised learning K1 Machine learning K1 GPR K1 machine learning K1 tack coat K1 pavement SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/IWAGPR57138.2023.10329070 DO https://doi.org/10.1109/IWAGPR57138.2023.10329070 SF ELIB - SuUB Bremen
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