Using Machine Learning and Feedback Filters for Localization in Ambient Assisted Living (AAL) Applications-Reference-Cited by-同舟云学术

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Using Machine Learning and Feedback Filters for Localization in Ambient Assisted Living (AAL) Applications

Published:2022-12-01 Issue: Volume: Page:
ISSN:
Container-title:2022 6th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI)
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Author:

Maduranga MWP¹,Lakmal H.K.I.S.²,Jayathissa RHNS¹,Wijayarathne WMSRB³,Wanniarachchi WAMM³

Affiliation:

1. Kotelawala Defence University,Dept. of Computer Engineering,Ratmalana,Sri Lanka

2. NSBM Green University Town,Dept. of Mechatronic and Industry Engineering,Homagama,Sri Lanka

3. Kotelawala Defence University,Dept. of Information Technology,Ratmalana,Sri Lanka

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10002417/10002386/10002492.pdf?arnumber=10002492

Reference28 articles.

1. Deep Learning-Based Indoor Localization Using Received Signal Strength and Channel State Information

2. Improving indoor positioning via machine learning;mussina;data,2019

3. A Novel Lightweight Particle Filter for Indoor Localization

4. Improving BLE Beacon Proximity Estimation Accuracy Through Bayesian Filtering

5. Machine learning based indoor localization using wi-fi and smartphone in a shopping malls;maaloul;International Conference on Artificial Intelligence and Applications,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Comprehensive Survey on Arithmetic Optimization Algorithm;Archives of Computational Methods in Engineering;2023-03-15

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