Home ›
Entities
› academia
› Semi-Skipping Layered Gated Unit and Efficient Network: Hybrid Deep Feature Selection Method for Edge Computing in EEG-Based Emotion Classification
Semi-Skipping Layered Gated Unit and Efficient Network: Hybrid Deep Feature Selection Method for Edge Computing in EEG-Based Emotion Classification
Research article (IEEE Access, 2021) · cited 26× · AI/ML
Semi-Skipping Layered Gated Unit and Efficient Network: Hybrid Deep Feature Selection Method for Edge Computing in EEG-Based Emotion Classification
Summary
Semi-Skipping Layered Gated Unit and Efficient Network: Hybrid Deep Feature Selection Method for Edge Computing in EEG-Based Emotion Classification is a scholarly article[1].
Key Facts
Semi-Skipping Layered Gated Unit and Efficient Network: Hybrid Deep Feature Selection Method for Edge Computing in EEG-Based Emotion Classification's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Semi-Skipping Layered Gated Unit and Efficient Network: Hybrid Deep Feature Selection Method for Edge Computing in EEG-Based Emotion Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/semi-skipping-layered-gated-unit-and-efficient-network-hybrid-deep-feature-selection-method-for-edge-computing-in-eeg-ba
MLA“Semi-Skipping Layered Gated Unit and Efficient Network: Hybrid Deep Feature Selection Method for Edge Computing in EEG-Based Emotion Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/semi-skipping-layered-gated-unit-and-efficient-network-hybrid-deep-feature-selection-method-for-edge-computing-in-eeg-ba.
BibTeX@misc{4ortxyz_semi-skipping-layered-gated-unit-and-efficient-network-hybrid-deep-feature-selection-method-for-edge-computing-in-eeg-ba_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Semi-Skipping Layered Gated Unit and Efficient Network: Hybrid Deep Feature Selection Method for Edge Computing in EEG-Based Emotion Classification}}, year = {2026}, url = {https://4ort.xyz/entity/semi-skipping-layered-gated-unit-and-efficient-network-hybrid-deep-feature-selection-method-for-edge-computing-in-eeg-ba}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Semi-Skipping Layered Gated Unit and Efficient Network: Hybrid Deep Feature Selection Method for Edge Computing in EEG-Based Emotion Classification — https://4ort.xyz/entity/semi-skipping-layered-gated-unit-and-efficient-network-hybrid-deep-feature-selection-method-for-edge-computing-in-eeg-ba (retrieved 2026-05-24)
