NUST Institutions Library Catalogue catalog › Details for: TH-SOF-2056-Analysis of Deep Learning based Emotion Charting Techniques for Parkinson’s Patients using Physiological Signal Analysis

Normal view MARC view ISBD view

TH-SOF-2056-Analysis of Deep Learning based Emotion Charting Techniques for Parkinson’s Patients using Physiological Signal Analysis

TextPublisher: ISLAMABAD: NUST COLLEGE OF EME, 2022Subject(s): MS-COMPUTER ENGINEERING-18DDC classification: 200 THE

Tags from this library: No tags from this library for this title. Log in to add tags.

Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Reference	College of Electrical & Mechanical Engineering (CEME)	College of Electrical & Mechanical Engineering (CEME)	Thesis	200 THE (Browse shelf)	Not for loan		TH-SOF-2056

Total holds: 0

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	200 THE TH-SOF-2042-Impact of Total Quality Management on Employees’ Creativity using Job Embeddedness as a Mediator: A case Study from the Manufacturing Sector of Pakistan	200 THE TH-SOF-2051-Design and Analysis of MEMS Based Electrothermal Mirrors Using Single Material Micro Actuator	200 THE TH-SOF-2057-Design Space Exploration of ASIP Architecture for various Machine Learning Algorithms (K-NN, K-mean, PAM)	200 THE TH-SOF-2056-Analysis of Deep Learning based Emotion Charting Techniques for Parkinson’s Patients using Physiological Signal Analysis	200 THE TH-SOF-2088-Experimental Study on the Performance of Split Air Conditioner With and Without Cooling Pads at ODU	200 THE TH-SOF-2081-Investigation of Spanwise tip Blowing in Rotating Wings	200 THE TH-SOF-2053-Dataset Collection and Mechanism Design for Semi-Automation of Prosthetic Pneumatic Knee Joint	Next

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer