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.

Бібліографічні деталі
Автори: Sarmi, Kaniz Fatima, Rahman, Shaikh Mahmudur, Sultana, Nusrat Jahan, Anzoom Shanto, Khandaker MD. Asef
Інші автори: Parvez, Dr. Mohammad Zavid
Формат: Дисертація
Мова:en_US
Опубліковано: Brac University 2022
Предмети:
Electroencephalogram (EEG)
Major Depressive Disorder (MDD)
Brain Signal Analysis
Transfer Learning Models
VGG16
ResNet152
Xception
MobileNetV2
Machine Learning
Electroencephalography
Neural networks (Computer science)
Онлайн доступ:http://hdl.handle.net/10361/17576

Інтернет

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

Схожі ресурси