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An Elderly Fall Detection Method Based on Federated Learning and Extreme Learning Machine (Fed-ELM)

Research article (IEEE Access, 2022) · cited 25× · AI/ML
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An Elderly Fall Detection Method Based on Federated Learning and Extreme Learning Machine (Fed-ELM)

Summary

An Elderly Fall Detection Method Based on Federated Learning and Extreme Learning Machine (Fed-ELM) is a scholarly article[1].

Key Facts

  • An Elderly Fall Detection Method Based on Federated Learning and Extreme Learning Machine (Fed-ELM)'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). An Elderly Fall Detection Method Based on Federated Learning and Extreme Learning Machine (Fed-ELM). Retrieved May 24, 2026, from https://4ort.xyz/entity/an-elderly-fall-detection-method-based-on-federated-learning-and-extreme-learning-machine-fed-elm
MLA “An Elderly Fall Detection Method Based on Federated Learning and Extreme Learning Machine (Fed-ELM).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-elderly-fall-detection-method-based-on-federated-learning-and-extreme-learning-machine-fed-elm.
BibTeX @misc{4ortxyz_an-elderly-fall-detection-method-based-on-federated-learning-and-extreme-learning-machine-fed-elm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Elderly Fall Detection Method Based on Federated Learning and Extreme Learning Machine (Fed-ELM)}}, year = {2026}, url = {https://4ort.xyz/entity/an-elderly-fall-detection-method-based-on-federated-learning-and-extreme-learning-machine-fed-elm}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Elderly Fall Detection Method Based on Federated Learning and Extreme Learning Machine (Fed-ELM) — https://4ort.xyz/entity/an-elderly-fall-detection-method-based-on-federated-learning-and-extreme-learning-machine-fed-elm (retrieved 2026-05-24)

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