Distinguishing Between Fake and Real Smiles Using EEG Signals and Deep Learning
A Master of Science thesis in Biomedical Engineering by Mostafa Mohamed Moussa entitled, “Distinguishing Between Fake and Real Smiles Using EEG Signals and Deep Learning”, submitted in April 2020. Thesis advisors are Dr. Usman Tariq and Dr. Hasan Al Nashash. Soft copy is available (Thesis, Approval...
Saved in:
| Main Author: | Moussa, Mostafa Mohamed (author) |
|---|---|
| Format: | doctoralThesis |
| Published: |
2020
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/11073/16713 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Discriminating Fake and Real Smiles Using Electroencephalogram Signals With Convolutional Neural Networks
by: Moussa, Mostafa M.
Published: (2022) -
A real-time automatic pothole detection system using convolution neural networks
by: Bharat, Ricardo
Published: (2023) -
Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection
by: Hadid, Abdenour
Published: (2022) -
A Deep Learning Approach for Real-Time Analysis of Attendees’ Engagement in Public Events
by: Samuel Mathew, Sujith
Published: (2021) -
Developing a UAE-Based Disputes Prediction Model using Machine Learning
by: Abu Laila, Ibrahim Wasef Subhi
Published: (2022)