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Dynamic entropy-based pattern learning to identify emotions from EEG signals across individuals

Research article (Measurement, 2019) · cited 72× · AI/ML
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Dynamic entropy-based pattern learning to identify emotions from EEG signals across individuals

Summary

Dynamic entropy-based pattern learning to identify emotions from EEG signals across individuals is a scholarly article[1].

Key Facts

  • Dynamic entropy-based pattern learning to identify emotions from EEG signals across individuals's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Dynamic entropy-based pattern learning to identify emotions from EEG signals across individuals. Retrieved May 24, 2026, from https://4ort.xyz/entity/dynamic-entropy-based-pattern-learning-to-identify-emotions-from-eeg-signals-across-individuals
MLA “Dynamic entropy-based pattern learning to identify emotions from EEG signals across individuals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dynamic-entropy-based-pattern-learning-to-identify-emotions-from-eeg-signals-across-individuals.
BibTeX @misc{4ortxyz_dynamic-entropy-based-pattern-learning-to-identify-emotions-from-eeg-signals-across-individuals_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dynamic entropy-based pattern learning to identify emotions from EEG signals across individuals}}, year = {2026}, url = {https://4ort.xyz/entity/dynamic-entropy-based-pattern-learning-to-identify-emotions-from-eeg-signals-across-individuals}, note = {Accessed: 2026-05-24}}
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