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Vehicle Classification Using an Imbalanced Dataset Based on a Single Magnetic Sensor

This paper aims to improve the accuracy of automatic vehicle classifiers for imbalanced datasets. Classification is made through utilizing a single anisotropic magnetoresistive sensor, with the models of vehicles involved being classified into hatchbacks, sedans, buses, and multi-purpose vehicles (M...

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Detalles Bibliográficos
Autores principales: Xu, Chang, Wang, Yingguan, Bao, Xinghe, Li, Fengrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022199/
https://www.ncbi.nlm.nih.gov/pubmed/29794974
http://dx.doi.org/10.3390/s18061690