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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主要な著者: | , , , , , , |
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フォーマット: | 論文 |
言語: | English |
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MDPI AG
2019
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オンライン・アクセス: | 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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