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

Research article (2018 8th International Conference on Intelligent Systems, Modelling and Simulation (ISMS), 2018) · cited 15× · AI/ML
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Feature Selection Using Binary Simulated Kalman Filter for Peak Classification of EEG Signals

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Feature Selection Using Binary Simulated Kalman Filter for Peak Classification of EEG Signals is a scholarly article[1].

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  • Feature Selection Using Binary Simulated Kalman Filter for Peak Classification of EEG Signals's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Feature Selection Using Binary Simulated Kalman Filter for Peak Classification of EEG Signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/feature-selection-using-binary-simulated-kalman-filter-for-peak-classification-of-eeg-signals
MLA “Feature Selection Using Binary Simulated Kalman Filter for Peak Classification of EEG Signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feature-selection-using-binary-simulated-kalman-filter-for-peak-classification-of-eeg-signals.
BibTeX @misc{4ortxyz_feature-selection-using-binary-simulated-kalman-filter-for-peak-classification-of-eeg-signals_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feature Selection Using Binary Simulated Kalman Filter for Peak Classification of EEG Signals}}, year = {2026}, url = {https://4ort.xyz/entity/feature-selection-using-binary-simulated-kalman-filter-for-peak-classification-of-eeg-signals}, note = {Accessed: 2026-05-24}}
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