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Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers / Muhammad Ali Farooq.

TextPublisher: Islamabad : PNEC - NUST, 2017Description: 89 p. : ill. ; 30cmSubject(s): MS-Electrical EngineeringDDC classification: 200 Online resources: Click here to access online

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Soft Copy	Central Library (CL)	Central Library (CL)	Thesis	200 (Browse shelf)	Available		CL-T-6201

Total holds: 0

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Previous	200 FUZZY-TOPSIS BASED CLUSTER HEAD SELECTION IN WIRELESS SENSOR NETWORKS WITH MOBILE SINK/	200 Controlling UAV by an Embedded Controller /	200 MHD BOUNDARY LAYER FLOW AND HEAT TRANSFER OVER A FLAT PLATE: INTEGRAL APPROACH /	200 Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers /	200 Reducing residual stresses for optimal machining of Al-6061 (T-6) alloy through re-heating technique /	200 ENERGY AND EXERGY ANALYSIS OF MULTISTAGE REFRIGERATION SYSTEM WITH DIFFERENT COUPLES OF REFRIGERANTS /	200 Design and Development of a test rig for testing of Fuzzy controller/	Next

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