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Artificial Immune System (AIS) – A Soft Computing Based Approach for Electroencephalography (EEG) Signal Classification/ Nasir Rashid

By: Rashid Nasir Contributor(s): Supervisor:Dr Javaid Iqbal Material type: Text

TextRawalpindi; EME NUST; 2019Description: 160,p; ill; 30,cmSubject(s): PhD-Mechatronics 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		CLPT-140

Total holds: 0

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Previous	200 Complexity Framework of Adaptive Scalable Manufacturing Systems/	200 Computationally Efficient Reduced Order Model for Complex Flows/	200 Numerical Simulations, Nonlinear Analysis and Control of Bio-inspired Flows: A Step towards Autonomous Vehicles/	200 Artificial Immune System (AIS) – A Soft Computing Based Approach for Electroencephalography (EEG) Signal Classification/	200 SECURITY IN PERVASIVE COMPUTING ENVIRONMENT/	200 Recognition and Tracking of Fixed Shape Moving Objects based on Maximum Average Correlation Height (MACH) and Approximate Proximal Gradient (APG) filters/	200 ExtractID: Deep Information Extraction from Identity Documents/	Next

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