Machine learning for time series analysis
The EEG signal is a change in neuronal potential generated by the human brain during activity. Currently, machine learning and deep learning algorithms are widely used in areas such as feature extraction and pattern recognition. In this paper, we propose a deep learning algorithm based on EEGNet mod...
Saved in:
Main Author: | Wang, Ruyue |
---|---|
Other Authors: | Wen Bihan |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/166239 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Machine learning for anomaly detection on intelligent transportation time series data
by: Lin, Yuxuan
Published: (2022) -
Machine learning and real-time prediction of human motion for intelligent human-machine interfaces
by: Chen, Yongming
Published: (2021) -
EEG signal analysis using machine learning
by: Zhang, Enshang
Published: (2022) -
Data-driven methods for denoising and analysis of functional magnetic resonance imaging time-series
by: Syed Muhammad Ghazanfar Monir.
Published: (2010) -
Machine learning based retinal vessel detection
by: Li, Hongru
Published: (2021)