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Mammogram breast cancer nodule localization based on massive training Support Vector Machine / Ashwaq Mukred Saeed Qasem.

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Producer: 2014Description: xi, 74 pages : photographs ; 30 cmContent type:

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Dissertation note: Thesis (Master of Information Technology)-Universiti Kebangsaan Malaysia, 2014.

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Item type	Current library	Home library	Collection	Call number	Materials specified	Copy number	Status	Date due	Barcode
TERHAD	PERPUSTAKAAN LINGKUNGAN KEDUA	PERPUSTAKAAN LINGKUNGAN KEDUA TESIS-P. LINGKUNGAN KEDUA	-	Q325.5.Q287 2014 3 tesis (Browse shelf(Opens below))		1	Available		00002142183

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Previous	Q325.5.N645 2011 3tesis Pengelasan pantun melayu menggunakan kaedah mesin vektor sokongan /	Q325.5.N647 2013 3 tesis Perlombongan pendapat bahasa rojak menggunakan pendekatan pembelajaran mesin /	Q325.5.N847 2015 3 tesis Ramalan pengelasan perkataan Bahasa Melayu kelantangan bunyi menggunakan kaedah mesin vektor sokongan (MVS) /	Q325.5.Q287 2014 3 tesis Mammogram breast cancer nodule localization based on massive training Support Vector Machine /	Q325.5.Q337 2020 3 Ensemble learning model pruning based on bees algorithm for breast cancer classification /	Q325.5.Y337 2017 3 tesis Extreme learning machine computing model for stream-flow forecasting /	Q325.75.S239 2016 3 tesis Multi-label text categorization based on boosting algorithms /	Next

Thesis (Master of Information Technology)-Universiti Kebangsaan Malaysia, 2014.

References : pages [63]-67.

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