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Knowledge preserving OSELM model for Wi-Fi-based indoor localization

Wi-Fi has shown enormous potential for indoor localization because of its wide utilization and availability. Enabling the use of Wi-Fi for indoor localization necessitates the construction of a fingerprint and the adoption of a learning algorithm. The goal is to enable the use of the fingerprint in...

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Main Authors: Al-Khaleefa, Ahmed Salih, Ahmad, Mohd. Riduan, Md. Isa, Azmi Awang, Mohd. Esa, Mona Riza, Aljeroudi, Yazan, Jubair, Mohammed Ahmed, Malik, Reza Firsandaya
格式: Article
語言:English
出版: MDPI AG 2019
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在線閱讀:http://eprints.utm.my/id/eprint/89232/1/MonaRizaMohd2019_KnowledgePreservingOSELMModelforWiFi.pdf
http://eprints.utm.my/id/eprint/89232/
http://dx.doi.org/10.3390/s19102397
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