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Framework Using Supervised Learning Techniques for Classification of Data of Cardiac Patients / Iqbal Basharat

By: Iqbal Basharat Material type: Text

TextPublisher: Islambad : CEME NUST, 2014Description: ill : xii, 63 p. ; 30cmSubject(s): Iqbal BasharatDDC classification: 621.39

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Item type	Current location	Home library	Call number	Status	Date due	Barcode	Item holds
Thesis	Central Library (CL)	Central Library (CL)	621.39 (Browse shelf)	Available		CL-T-149

Total holds: 0

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Previous	621.39 Synthetic Aperture Radar Processing on GPU /	621.39 Frequency Hopping in Staggered Multi-Hopped Multi -Subnet Environment /	621.39 Automated Sentiment Analysis of Microblogs /	621.39 Framework Using Supervised Learning Techniques for Classification of Data of Cardiac Patients /	621.39 Target Tracking in Wireless Sensor Network /	621.39 Design and Implementation of an Efficient Micro-Coded Processor on FPGA for Wavelet Based Applications /	621.39 EEG Signal Classification using RBF Neural Network Trained with Improved PSO Algorithm for Epilepsy Identification /	Next

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