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

• 主要な著者: Al-Khaleefa, Ahmed Salih, Ahmad, Mohd. Riduan, Md. Isa, Azmi Awang, Mohd. Esa, Mona Riza, Aljeroudi, Yazan, Jubair, Mohammed Ahmed, Malik, Reza Firsandaya
• フォーマット: 論文
• 言語: English
• 出版事項: MDPI AG 2019
• 主題: TK Electrical engineering. Electronics Nuclear engineering
• 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

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...