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.

Библиографические подробности
Главные авторы: Sarmi, Kaniz Fatima, Rahman, Shaikh Mahmudur, Sultana, Nusrat Jahan, Anzoom Shanto, Khandaker MD. Asef
Другие авторы: Parvez, Dr. Mohammad Zavid
Формат: Диссертация
Язык:en_US
Опубликовано: Brac University 2022
Предметы:
Electroencephalogram (EEG)
Major Depressive Disorder (MDD)
Brain Signal Analysis
Transfer Learning Models
VGG16
ResNet152
Xception
MobileNetV2
Machine Learning
Electroencephalography
Neural networks (Computer science)
Online-ссылка:http://hdl.handle.net/10361/17576

Internet

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

Схожие документы