Time-frequency Based EEG Motor Imagery Signal Classification with Deep Learning Networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Time-frequency Based EEG Motor Imagery Signal Classification with Deep Learning Networks

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)
language:
Short-container-title:

Author:

Rabby Md Khurram Monir¹,Eshun Robert B.²,Belkasim Saeid³,Islam A.K.M. Kamrul²

Affiliation:

1. Bangladesh University of Engineering & Technology (BUET),Department of Electrical & Electronic Engineering,Bangladesh

2. North Carolina A&T State University,Department of Computational Data Science and Engineering,USA

3. Georgia State University,Department of Computer Science,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9723599/9723658/09723666.pdf?arnumber=9723666

Reference5 articles.

1. Data Augmentation for Motor Imagery Signal Classification Based on a Hybrid Neural Network

2. EEG signals classification using the K-means clustering and a multilayer perceptron neural network model

3. Artificial Neural Network Classification of Motor-Related EEG: An Increase in Classification Accuracy by Reducing Signal Complexity

4. Autoregressive Models for Statistical Parametric Speech Synthesis

5. EEG-based Discriminative Features During Hand Movement Execution and Imagination

Cited by 4 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. Feature Fusion and Augmentation Based on Manifold Ranking for Image Classification;International Journal of Semantic Computing;2024-08-16

2. Finger pinching and imagination classification: A fusion of CNN architectures for IoMT-enabled BCI applications;Information Fusion;2024-01

3. Feature Fusion and Augmentation based on Manifold Ranking for Image Classification;2023 IEEE Sixth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE);2023-09-25

4. An Approach for EEG Denoising Based on Wasserstein Generative Adversarial Network;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3