Depression classification with MDD (Major Depressive Disorder) using signal processing and machine learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
Prif Awduron: | Saleque, Shahriar, Spriha, Gul-A-Zannat, Kamal, MD Rasheeq Ishraq, Khan, Rafia Tabassum |
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Awduron Eraill: | Chakrabarty, Amitabha |
Fformat: | Traethawd Ymchwil |
Iaith: | English |
Cyhoeddwyd: |
Brac University
2021
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Pynciau: | |
Mynediad Ar-lein: | http://hdl.handle.net/10361/14724 |
Eitemau Tebyg
-
A review on major depressive disorder
gan: Sadia, Mumtahina
Cyhoeddwyd: (2024) -
A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
gan: Sarmi, Kaniz Fatima, et al.
Cyhoeddwyd: (2022) -
Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches
gan: Karim, Rezwanul, et al.
Cyhoeddwyd: (2019) -
Depression: a major global concern?
gan: Samiullah, Md.
Cyhoeddwyd: (2018) -
Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
gan: Amiz, Asef Hassan, et al.
Cyhoeddwyd: (2021)