EEG based emotion classification using ideal features set through convolutional neural network
Muhammad Islam (12555)
EEG based emotion classification using ideal features set through convolutional neural network - Islamabad (Unpublished) 2021 - xi, 48 p. : ill. ; 30 cm. +CD
Submitted in partial fulfillment of the requirements for the degree of Master of Science in Software Engineering to the Faculty of Computing. Includes bibliographical references. Thesis supervisor: Dr. Rizwan Bin Faiz
Thesis (M.S.)--Riphah International University, 2021
English
Software engineering
Convolutional network--Support vector analysis --Emotion classification --Electroencephalogram --FC
006.32 / ISL
EEG based emotion classification using ideal features set through convolutional neural network - Islamabad (Unpublished) 2021 - xi, 48 p. : ill. ; 30 cm. +CD
Submitted in partial fulfillment of the requirements for the degree of Master of Science in Software Engineering to the Faculty of Computing. Includes bibliographical references. Thesis supervisor: Dr. Rizwan Bin Faiz
Thesis (M.S.)--Riphah International University, 2021
English
Software engineering
Convolutional network--Support vector analysis --Emotion classification --Electroencephalogram --FC
006.32 / ISL