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.

Opis bibliograficzny
Główni autorzy: Sarmi, Kaniz Fatima, Rahman, Shaikh Mahmudur, Sultana, Nusrat Jahan, Anzoom Shanto, Khandaker MD. Asef
Kolejni autorzy: Parvez, Dr. Mohammad Zavid
Format: Praca dyplomowa
Język:en_US
Wydane: Brac University 2022
Hasła przedmiotowe:
Electroencephalogram (EEG)
Major Depressive Disorder (MDD)
Brain Signal Analysis
Transfer Learning Models
VGG16
ResNet152
Xception
MobileNetV2
Machine Learning
Electroencephalography
Neural networks (Computer science)
Dostęp online:http://hdl.handle.net/10361/17576

Internet

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

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