NUST Institutions Library Catalogue catalog › Details for: TH-SOF-1609-Artificial Immune System (AIS) - A Soft Computing Based Approach for Electroencephalography (EEG) Signal Classification

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TH-SOF-1609-Artificial Immune System (AIS) - A Soft Computing Based Approach for Electroencephalography (EEG) Signal Classification

TextPublisher: ISLAMABAD NUST COLLEGE OF EME 2019Subject(s): PHD MECHATRONICS ENGINEERING PHDTHESISDDC classification: 200 THE

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Computer Files	College of Electrical & Mechanical Engineering (CEME)	College of Electrical & Mechanical Engineering (CEME)	Reference	200 THE (Browse shelf)	Available		TH-SOF-1609

Total holds: 0

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Previous	200 THE TH-SOF-1607-Vision based Human Activity Recognition using Skeleton Data	200 THE TH-SOF-1608-Design and Simulation of MEMS Based Varactor with High Tunability for Digital Communication Systems	200 THE Computationally Efficient Reduced Order Model for Complex Flows/	200 THE TH-SOF-1609-Artificial Immune System (AIS) - A Soft Computing Based Approach for Electroencephalography (EEG) Signal Classification	200 THE TH-SOF-1610-Cardiac Left Atrium and Left Ventricle Segmentation in 3D MRI	200 THE TH-SOF-1611-Fake News Detection-A supervised Lerning Approach	200 THE TH-SOF-1512-Deep Convolutional Neural Networks for Lungs Segmentation and Diagnosis of Tuberculosis from Chest X-Rays	Next

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