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Hybrid approach for improved classification of human brain signals

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Material type: Text

TextPublication details: Faisalabad (Unpublished) 2019Description: xiv, 58 p. : ill. ; 30 cmSubject(s):

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Dissertation note: Thesis (MSCS)--Riphah International University, 2019

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Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Thesis	Faisalabad Campus	005 KAS (Browse shelf(Opens below))	1	Not for loan		44923

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Previous	005.BRI Home Networking	005 FAR An ascii based effective and multi-operation image encryption method	005 GHA An effective reversible texture synthesis based image steganography method using kryptos	005 KAS Hybrid approach for improved classification of human brain signals	005 KIR An improved automatic sentiment classification using sentiment lexicon and emoticons dictionary	005 MAH A novel virtual reality game for the development of usability challenges in teenage learning groups	005 MAH An algorithm for preventing background knowledge and homogeneity attacks in big healthcare data	Next

Submitted in fulfillment of requirements for the degree of Master of Sciences in Computer Science to the Faculty of Computing

Includes bibliographical references

Thesis supervisor: Dr Umar Iqbal

Thesis (MSCS)--Riphah International University, 2019

English

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