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Ubiquitous document capturing with deep-learning

By: Tayyaba NazMaterial type: Text

TextPublisher: Islamabad NUST-SEECS : 2016Description: 39p. CD IncludesDDC classification: MSIT-15 NAZ Online resources: Click here to access online

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Item type	Current location	Home library	Collection	Shelving location	Call number	Status	Barcode
Thesis	Central Library (CL)	Central Library (CL)		Thesis	004MSIT-15 NAZ (Browse shelf)	Available	CL-T-4185
Thesis	Central Library (CL)	Central Library (CL)		Thesis	005 (Browse shelf)	Available	CL-T-3163
Thesis	Central Library (CL)	Central Library (CL)	NFIC	General Stacks	MSIT-15 NAZ (Browse shelf)	Available	SEECSP02015

Total holds: 0

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Previous	MSIT-15 KAM Document understanding using LSTM (long short term memory) neural networks	MSIT-15 MAR Cluster based analysis of digital forensic investigation	MSIT-15 MUN Distributed scheme for localization in wireless sensor networks	MSIT-15 NAZ Ubiquitous document capturing with deep-learning	MSIT-15 RID The impact of pre-processing on automated taxonomy generation	MSIT-15 SUL Predicting student performance using cognitive and non cognitive informations	MSIT-15 TAR Evaluating collaboration among the internet of things through agent based modelling and simulation approach	Next

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