A4 Article in conference proceedings
Applying wavelet packet decomposition and one-class support vector machine on vehicle acceleration traces for road anomaly detection (2013)


Cong, F., Hautakangas, H., Nieminen, J., Mazhelis, O., Perttunen, M., Riekki, J., & Ristaniemi, T. (2013). Applying wavelet packet decomposition and one-class support vector machine on vehicle acceleration traces for road anomaly detection. In C. Guo, Z.-G. Hou, & Z. Zeng (Eds.), Advances in Neural Networks – ISNN 2013, 10th International Symposium on Neural Networks, Dalian, China, July 4-6, 2013, Proceedings, Part I (pp. 291-299). Springer. Lecture Notes in Computer Science, 7951. https://doi.org/10.1007/978-3-642-39065-4_36


JYU authors or editors


Publication details

All authors or editors: Cong, Fengyu; Hautakangas, Hannu; Nieminen, Jukka; Mazhelis, Oleksiy; Perttunen, Mikko; Riekki, Jukka; Ristaniemi, Tapani

Parent publication: Advances in Neural Networks – ISNN 2013, 10th International Symposium on Neural Networks, Dalian, China, July 4-6, 2013, Proceedings, Part I

Parent publication editors: Guo, Chengan; Hou, Zeng-Guang; Zeng, Zhigang

ISBN: 978-3-642-39064-7

Journal or series: Lecture Notes in Computer Science

ISSN: 0302-9743

Publication year: 2013

Number in series: 7951

Pages range: 291-299

Publisher: Springer

Place of Publication: Berlin

Publication country: Germany

Publication language: English

DOI: https://doi.org/10.1007/978-3-642-39065-4_36

Publication open access: Not open

Publication channel open access:


Free keywords: Anomaly detection; one-class; pothole; road; support vector machine; wavelet packet decomposition


Contributing organizations

Other organizations:


Ministry reporting: Yes

Reporting Year: 2013

JUFO rating: 1


Last updated on 2021-10-06 at 11:34