Improving the sustainability of WiFi-enabled indoor localization systems through meta-heuristic based instance selection approach-Reference-Cited by-同舟云学术

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Improving the sustainability of WiFi-enabled indoor localization systems through meta-heuristic based instance selection approach

Published:2024-12 Issue: Volume:257 Page:125063
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Panja Ayan K.^ORCID,Karim Syed Fahim^ORCID,Neogy Sarmistha^ORCID,Chowdhury Chandreyee^ORCID

Funder

Ministry of Science and Technology of the People's Republic of China

Department of Science and Technology, Ministry of Science and Technology, India

Publisher

Elsevier BV

Reference55 articles.

1. In-building localization using neural networks;Ahmad,2006

2. Ai-jun, L., & Peng, Z. (2020). Research on unbalanced data processing algorithm base tomeklinks-smote. In Proceedings of the 2020 3rd international conference on artificial intelligence and pattern recognition (pp. 13–17).

3. Ant colony optimization edge selection for support vector machine speed optimization;Akinyelu;Neural Computing and Applications,2020

4. Indoor location and navigation;AlphaJi,2021

5. Angiulli, F. (2005). Fast condensed nearest neighbor rule. In Proceedings of the 22nd international conference on machine learning (pp. 25–32).

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