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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/33877
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dc.contributor.authorAhmad Kadri, Junoh-
dc.contributor.authorMuhammad Naufal, Mansor-
dc.contributor.authorAlezar, Mat Ya'acob-
dc.contributor.authorSiti Haida, Ismail-
dc.contributor.authorNurhidayah, Omar-
dc.date.accessioned2014-04-21T04:39:29Z-
dc.date.available2014-04-21T04:39:29Z-
dc.date.issued2013-
dc.identifier.citationBandit detection system under various noise levels with nearest mean and Gaussian classifieren_US
dc.identifier.isbn978-303785867-7-
dc.identifier.issn1022-6680-
dc.identifier.urihttp://www.scientific.net/AMR.816-817.540-
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/33877-
dc.descriptionLink to publisher's homepage at http://www.ttp.net/en_US
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherTrans Tech Publicationsen_US
dc.subjectBandit detectionen_US
dc.subjectDiscrete cosine transformen_US
dc.subjectGaussian classifieren_US
dc.subjectNearest meanen_US
dc.subjectNoiseen_US
dc.titleBandit detection system under various noise levels with nearest mean and Gaussian classifieren_US
dc.typeArticleen_US
dc.contributor.urlkadri@unimap.edu.myen_US
dc.contributor.urlapairia@yahoo.comen_US
dc.contributor.urlalezar@unimap.edu.myen_US
dc.contributor.urlsitihaida@unimap.edu.myen_US
dc.contributor.urlhidayahomar@unimap.edu.myen_US
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