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EEG_GLT-Net: Optimising EEG graphs for real-time motor imagery signals classification

Research article (Biomedical Signal Processing and Control, 2025) · cited 13× · AI/ML
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EEG_GLT-Net: Optimising EEG graphs for real-time motor imagery signals classification

Summary

EEG_GLT-Net: Optimising EEG graphs for real-time motor imagery signals classification is a scholarly article[1].

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  • EEG_GLT-Net: Optimising EEG graphs for real-time motor imagery signals classification's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). EEG_GLT-Net: Optimising EEG graphs for real-time motor imagery signals classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/eeg-glt-net-optimising-eeg-graphs-for-real-time-motor-imagery-signals-classification
MLA “EEG_GLT-Net: Optimising EEG graphs for real-time motor imagery signals classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/eeg-glt-net-optimising-eeg-graphs-for-real-time-motor-imagery-signals-classification.
BibTeX @misc{4ortxyz_eeg-glt-net-optimising-eeg-graphs-for-real-time-motor-imagery-signals-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EEG_GLT-Net: Optimising EEG graphs for real-time motor imagery signals classification}}, year = {2026}, url = {https://4ort.xyz/entity/eeg-glt-net-optimising-eeg-graphs-for-real-time-motor-imagery-signals-classification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EEG_GLT-Net: Optimising EEG graphs for real-time motor imagery signals classification — https://4ort.xyz/entity/eeg-glt-net-optimising-eeg-graphs-for-real-time-motor-imagery-signals-classification (retrieved 2026-05-24)

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