dc.contributor.author | Cakan, E. | |
dc.contributor.author | Sahin, A. | |
dc.contributor.author | Nakip, M. | |
dc.contributor.author | Rodoplu, V. | |
dc.date.accessioned | 2022-04-25T11:41:42Z | |
dc.date.available | 2022-04-25T11:41:42Z | |
dc.date.issued | 2021 | |
dc.identifier.isbn | 978-166544431-6 | |
dc.identifier.uri | https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/18588 | |
dc.description.abstract | We develop a Multi-Layer Perceptron (MLP) Decomposition architecture for mobile Internet Things (IoT) indoor positioning. We demonstrate the performance of our architecture on an indoor system that utilizes ultra-wideband (UWB) positioning. Our architecture outperforms the following benchmark processing techniques on the same data: MLP, Linear Regression, Ridge Regression, Support Vector Regression, and the Least Squares Method for indoor positioning. The results show that our architecture can significantly advance the positioning accuracy of indoor positioning systems and enable indoor applications such as navigation, proximity marketing, asset tracking, collision avoidance, and social distancing. | en_US |
dc.language.iso | English | en_US |
dc.publisher | IEEE | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | Artificial Intelligence (AI) | en_US |
dc.subject | Indoor positioning | en_US |
dc.subject | Internet of Things (IoT) | en_US |
dc.title | Multi-Layer Perceptron Decomposition Architecture for Mobile IoT Indoor Positioning | en_US |
dc.type | Other | en_US |
dc.relation.journal | 7th IEEE World Forum on Internet of Things, WF-IoT 2021 | en_US |
dc.identifier.doi | 10.1109/WF-IoT51360.2021.9595282 | en_US |
dc.contributor.department | Department of Electrical and Electronics Engineering | en_US |
dc.identifier.scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85119835964&origin=SingleRecordEmailAlert&dgcid=raven_sc_search_en_us_email&txGid=7a46e8c6b7283ece6f97279b034a8800&featureToggles=FEATURE_NEW_DOC_DETAILS_EXPORT:1 | en_US |
dc.contributor.yasarauthor | 0000-0002-9055-4159: Volkan Rodoplu | en_US |