A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning

A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Sarmi, Kaniz Fatima, Rahman, Shaikh Mahmudur, Sultana, Nusrat Jahan, Anzoom Shanto, Khandaker MD. Asef
Άλλοι συγγραφείς: Parvez, Dr. Mohammad Zavid
Μορφή: Thesis
Γλώσσα:en_US
Έκδοση: Brac University 2022
Θέματα:
Electroencephalogram (EEG)
Major Depressive Disorder (MDD)
Brain Signal Analysis
Transfer Learning Models
VGG16
ResNet152
Xception
MobileNetV2
Machine Learning
Electroencephalography
Neural networks (Computer science)
Διαθέσιμο Online:http://hdl.handle.net/10361/17576

Διαδίκτυο

http://hdl.handle.net/10361/17576

Παρόμοια τεκμήρια