Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/33877
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)



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