Optimized KNN classify rule for EEG based differentiation between capable dyslexic and normal children-Reference-Cited by-同舟云学术

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Optimized KNN classify rule for EEG based differentiation between capable dyslexic and normal children

Published:2016-12 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)
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Author:

Zainuddin A. Z. A.,Lee Khuan Y,Mansor W.,Mahmoodin Z.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7829191/7843397/07843537.pdf?arnumber=7843537

Cited by 13 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. Rapid Detection Technology for Cocaine and Methamphetamine Acute Abuse based on EEG;Journal of Physics: Conference Series;2024-08-01

2. Deep learning-driven dyslexia detection model using multi-modality data;PeerJ Computer Science;2024-06-14

3. Developmental Dyslexia: Insights from EEG-Based Findings and Molecular Signatures—A Pilot Study;Brain Sciences;2024-01-28

4. Application of machine learning algorithm on migration error for the identification of selective letter position impairment in children;Multimedia Tools and Applications;2024-01-03

5. Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade;Information Fusion;2023-11

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