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Real-Time Fabric Defect Detection using Deep Learning / ZAVEEN WAQAR

By: WAQAR ,ZAVEEN Contributor(s): Supervisor : DR HASAN SAJID Material type: Text

TextIslamabad: SMME- NUST. 2021Description: 49p. ; Soft Copy, 30cmSubject(s): MS Robotics and Intelligent Machine EngineeringDDC classification: 629.8 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
Thesis	School of Mechanical & Manufacturing Engineering (SMME)	School of Mechanical & Manufacturing Engineering (SMME)	Thesis	629.8 (Browse shelf)	Available		SMME-TH-605

Total holds: 0

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Previous	629.8 Estimation of cognitive state improvement using EEG brain imaging after tDCS stimulation therapy /	629.8 Integration of Continuous Wavelet Transform and Convolutional Neural Network for multiclass EEG dataset classification /	629.8 Design and Control of Flapping Wing Unmanned Arial Vehicle Mimicking Falcon /	629.8 Real-Time Fabric Defect Detection using Deep Learning /	629.8 Prediction of Short-Term & Long-Term Video Memorability /	629.8 Physiological Sensing from Facial Videos using Deep Learning /	629.8 Urdu Optical Character Recognition /	Next

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