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FallDeF5: A Fall Detection Framework Using 5G-Based Deep Gated Recurrent Unit Networks

Research article (IEEE Access, 2021) · cited 18× · AI/ML
academia openalex:W3173657754
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FallDeF5: A Fall Detection Framework Using 5G-Based Deep Gated Recurrent Unit Networks

Summary

FallDeF5: A Fall Detection Framework Using 5G-Based Deep Gated Recurrent Unit Networks is a scholarly article[1].

Key Facts

  • FallDeF5: A Fall Detection Framework Using 5G-Based Deep Gated Recurrent Unit Networks's instance of is recorded as scholarly article[2].

Related Entities

Giancarlo Fortino

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). FallDeF5: A Fall Detection Framework Using 5G-Based Deep Gated Recurrent Unit Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/falldef5-a-fall-detection-framework-using-5g-based-deep-gated-recurrent-unit-networks
MLA “FallDeF5: A Fall Detection Framework Using 5G-Based Deep Gated Recurrent Unit Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/falldef5-a-fall-detection-framework-using-5g-based-deep-gated-recurrent-unit-networks.
BibTeX @misc{4ortxyz_falldef5-a-fall-detection-framework-using-5g-based-deep-gated-recurrent-unit-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FallDeF5: A Fall Detection Framework Using 5G-Based Deep Gated Recurrent Unit Networks}}, year = {2026}, url = {https://4ort.xyz/entity/falldef5-a-fall-detection-framework-using-5g-based-deep-gated-recurrent-unit-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FallDeF5: A Fall Detection Framework Using 5G-Based Deep Gated Recurrent Unit Networks — https://4ort.xyz/entity/falldef5-a-fall-detection-framework-using-5g-based-deep-gated-recurrent-unit-networks (retrieved 2026-05-24)

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