Hybrid approach for improved classification of human brain signals
Muhammad Kashif Hashmi (F17A14G05023)
Hybrid approach for improved classification of human brain signals - Faisalabad (Unpublished) 2019 - xiv, 58 p. : ill. ; 30 cm.
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
Computer science--Hybrid approaches--Human brain--Information theory --Biometry--Data processing --FC
005 / KAS
Hybrid approach for improved classification of human brain signals - Faisalabad (Unpublished) 2019 - xiv, 58 p. : ill. ; 30 cm.
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
Computer science--Hybrid approaches--Human brain--Information theory --Biometry--Data processing --FC
005 / KAS