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A Novel Method for Human Fall Detection Using Federated Learning and Interval-Valued Fuzzy Inference Systems Cover

A Novel Method for Human Fall Detection Using Federated Learning and Interval-Valued Fuzzy Inference Systems

Journal of Artificial Intelligence and Soft Computing Research
Volume 15 (2025): Issue 1 (January 2025)
By: Barbara Pękala,  Jarosław Szkoła,  Piotr Grochowalski,  Dorota Gil,  Dawid Kosior and  Krzysztof Dyczkowski  
Open Access
|Dec 2024

Authors

Barbara Pękala

bpekala@ur.edu.pl

University of Rzeszów, Poland
University of Rzeszów, Poland

Jarosław Szkoła

University of Rzeszów, Poland

Piotr Grochowalski

University of Rzeszów, Poland

Dorota Gil

University of Rzeszów, Poland

Dawid Kosior

University of Rzeszów, Poland

Krzysztof Dyczkowski

Adam Mickiewicz University, Poland
DOI: https://doi.org/10.2478/jaiscr-2025-0005
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Language: English
Page range: 77 - 90
Submitted on: Sep 20, 2024
Accepted on: Oct 31, 2024
Published on: Dec 8, 2024
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
federated learning,
interval-valued fuzzy sets,
approximate reasoning,
posture detection,
elderly care
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2024 Barbara Pękala, Jarosław Szkoła, Piotr Grochowalski, Dorota Gil, Dawid Kosior, Krzysztof Dyczkowski, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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