Feature Selection Using Binary Simulated Kalman Filter for Peak Classification of EEG Signals-Reference-Cited by-同舟云学术

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Feature Selection Using Binary Simulated Kalman Filter for Peak Classification of EEG Signals

Published:2018-05 Issue: Volume: Page:
ISSN:
Container-title:2018 8th International Conference on Intelligent Systems, Modelling and Simulation (ISMS)
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Author:

Muhammad Badaruddin,Jusof Mohd Falfazli Mat,Shapiai Mohd Ibrahim,Adam Asrul,Yusof Zulkifli Md,Azmi Kamil Zakwan Mohd,Aziz Nor Hidayati Abdul,Ibrahim Zuwairie,Mokhtar Norrima

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8682008/8699168/08699179.pdf?arnumber=8699179

Cited by 5 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. A brief review of simulated Kalman Filter Algorithm – variants and applications;F1000Research;2021-10-25

2. A Diversity-Based Adaptive Synchronous-Asynchronous Switching Simulated Kalman Filter Optimizer;Lecture Notes in Electrical Engineering;2020

3. A Fuzzy Queue Scheduling Controller to Enhance QoS for Terminal Communication;Smart Innovation, Systems and Technologies;2019-08-02

4. A Fitness-Based Adaptive Synchronous-Asynchronous Switching in Simulated Kalman Filter Optimizer;2019 International Conference on Computer and Information Sciences (ICCIS);2019-04

5. An Oppositional Learning Prediction Operator for Simulated Kalman Filter;2018 3rd International Conference on Computational Intelligence and Applications (ICCIA);2018-07

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