LGNet: Learning local–global EEG representations for cognitive workload classification in simulated flights
Summary
LGNet: Learning local–global EEG representations for cognitive workload classification in simulated flights is a scholarly article[1].
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LGNet: Learning local–global EEG representations for cognitive workload classification in simulated flights's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). LGNet: Learning local–global EEG representations for cognitive workload classification in simulated flights. Retrieved May 24, 2026, from https://4ort.xyz/entity/lgnet-learning-localglobal-eeg-representations-for-cognitive-workload-classification-in-simulated-flights
MLA“LGNet: Learning local–global EEG representations for cognitive workload classification in simulated flights.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lgnet-learning-localglobal-eeg-representations-for-cognitive-workload-classification-in-simulated-flights.
BibTeX@misc{4ortxyz_lgnet-learning-localglobal-eeg-representations-for-cognitive-workload-classification-in-simulated-flights_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LGNet: Learning local–global EEG representations for cognitive workload classification in simulated flights}}, year = {2026}, url = {https://4ort.xyz/entity/lgnet-learning-localglobal-eeg-representations-for-cognitive-workload-classification-in-simulated-flights}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LGNet: Learning local–global EEG representations for cognitive workload classification in simulated flights — https://4ort.xyz/entity/lgnet-learning-localglobal-eeg-representations-for-cognitive-workload-classification-in-simulated-flights (retrieved 2026-05-24)
