Performance Evaluation of Support Vector Machine and Convolutional Neural Network Algorithms in Real-Time Vehicle Type Classification-Reference-Cited by-同舟云学术

Performance Evaluation of Support Vector Machine and Convolutional Neural Network Algorithms in Real-Time Vehicle Type Classification

Published:2018 Issue: Volume: Page:934-943
ISSN:2367-4512
Container-title:Advances in Internet, Data & Web Technologies
language:
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Author:

Şentaş Ali,Tashiev İsabek,Küçükayvaz Fatmanur,Kul Seda,Eken Süleyman,Sayar Ahmet,Becerikli Yaşar

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-75928-9_86

Reference31 articles.

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3. Al-Sobkya, A.A., Mousa, R.M.: Traffic density determination and its applications using smartphone. Alex. Eng. J. 55(1), 513–523 (2016)

4. Pelegri, J., Alberola, J., Llario, V.: Vehicle detection and car speed monitoring system using GMR magnetic sensors. In: Proceedings of IEEE Annual Conference in the Industrial Electronics Society, pp. 1693–1695. IEEE, Sevilla (2002)

5. Ryusuke, K., Shigeyuki, K., Tomoyuki, N., Takashi, A., Makoto, A., Hisao, O.: A punctilious detection method for measuring vehicles’ speeds. In: Proceedings of the International Symposium on Intelligent Signal Processing and Communication System, pp. 967–970. IEEE, Tottori (2006)

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