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Title: | Bandit detection system under various noise levels with nearest mean and Gaussian classifier |
Authors: | Ahmad Kadri, Junoh Muhammad Naufal, Mansor Alezar, Mat Ya'acob Siti Haida, Ismail Nurhidayah, Omar kadri@unimap.edu.my apairia@yahoo.com alezar@unimap.edu.my sitihaida@unimap.edu.my hidayahomar@unimap.edu.my |
Keywords: | Bandit detection Discrete cosine transform Gaussian classifier Nearest mean Noise |
Issue Date: | 2013 |
Publisher: | Trans Tech Publications |
Citation: | Bandit detection system under various noise levels with nearest mean and Gaussian classifier |
Abstract: | The Government Transformation Programme (GTP) is an effort by Malaysia's current Government to address seven key areas concerning the people of the country. The programme was unveiled on 28 January 2010 by the Malaysian Prime Minister Najib Tun Razak. One of the (GTP) agenda is to reduce the crime rate as per its Vision 2020. Thus, in order fulfill this demand and challenge our enthusiasm to create a better place for our beloved country. We proudly presented a bandit detection system under various noise levels with nearest mean and Gaussian classifier. This system to boost the Malaysian police arm forced performance. |
Description: | Link to publisher's homepage at http://www.ttp.net/ |
URI: | http://www.scientific.net/AMR.816-817.540 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33877 |
ISBN: | 978-303785867-7 |
ISSN: | 1022-6680 |
Appears in Collections: | Institute of Engineering Mathematics (Articles) |
Files in This Item:
File | Description | Size | Format | |
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Bandit detection system under various noise levels with nearest mean and Gaussian classifier.pdf | 9.39 kB | Adobe PDF | View/Open |
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