Determination of Increased Mental Workload Condition From EEG by the Use of Classification Techniques

Author:

Duru Adil Deniz

Publisher

Marmara University Journal of Science

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Classification Mental Workload Levels from EEG Signals with 1D Convolutional Neural Network;The European Journal of Research and Development;2022-12-31

2. Göz izleme verilerine bağlı olarak zihinsel iş yükünü sınıflandırmada makine öğrenmesi algoritmalarının kullanılması;Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi;2022-05-01

3. Classification of epileptic seizure features from scalp electrical measurements using KNN and SVM based on Fourier Transform;THE 2ND INTERNATIONAL CONFERENCE OF SCIENCE AND INFORMATION TECHNOLOGY IN SMART ADMINISTRATION (ICSINTESA 2021);2022

4. Observed Shape Detection from EEG Time Series;2021 IEEE 19th Student Conference on Research and Development (SCOReD);2021-11-23

5. Detecting Mental Workload in Virtual Reality Using EEG Spectral Data: A Deep Learning Approach;2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR);2021-11

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