Details | |
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Project Title | Classification of Artifacts in EEG Signals through Deep Learning |
Location | Kampar Campus |
Stipend |
RM2,000.00 (Full Tuition Fee Scholarship for candidate with CGPA: 3.50 and above T&C) |
Education Level | Bachelor of Computer Science / Bachelor of Engineering (E&E) / Bachelor of IT |
Specific Skills / Knowledge Required | Knowledge in machine learning |
Job Description | 1. Identify and predict/classify different types of artifacts features contaminating EEG signals 2. To be able to implement and evaluate different machine learning and deep learning algorithms |
How to Apply |
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