IMPROVED INDOOR POSITIONING SYSTEM PERFORMANCE USING MACHINE LEARNING
Ph.D
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2023
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Online Access: | https://scholarbank.nus.edu.sg/handle/10635/242638 |
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sg-nus-scholar.10635-2426382023-06-30T18:00:20Z IMPROVED INDOOR POSITIONING SYSTEM PERFORMANCE USING MACHINE LEARNING SANTOS ROCHELLE XENIA MENDOZA ELECTRICAL & COMPUTER ENGINEERING Biplab Sikdar Sivanand Krishnan indoor positioning, indoor localization, machine learning, bluetooth, multilateration, Ph.D DOCTOR OF PHILOSOPHY (CDE-ENG) 2023-06-30T18:00:20Z 2023-06-30T18:00:20Z 2023-01-16 Thesis SANTOS ROCHELLE XENIA MENDOZA (2023-01-16). IMPROVED INDOOR POSITIONING SYSTEM PERFORMANCE USING MACHINE LEARNING. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/242638 0009-0002-9337-7802 en |
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National University of Singapore |
building |
NUS Library |
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Asia |
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Singapore Singapore |
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NUS Library |
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ScholarBank@NUS |
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English |
topic |
indoor positioning, indoor localization, machine learning, bluetooth, multilateration, |
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indoor positioning, indoor localization, machine learning, bluetooth, multilateration, SANTOS ROCHELLE XENIA MENDOZA IMPROVED INDOOR POSITIONING SYSTEM PERFORMANCE USING MACHINE LEARNING |
description |
Ph.D |
author2 |
ELECTRICAL & COMPUTER ENGINEERING |
author_facet |
ELECTRICAL & COMPUTER ENGINEERING SANTOS ROCHELLE XENIA MENDOZA |
format |
Theses and Dissertations |
author |
SANTOS ROCHELLE XENIA MENDOZA |
author_sort |
SANTOS ROCHELLE XENIA MENDOZA |
title |
IMPROVED INDOOR POSITIONING SYSTEM PERFORMANCE USING MACHINE LEARNING |
title_short |
IMPROVED INDOOR POSITIONING SYSTEM PERFORMANCE USING MACHINE LEARNING |
title_full |
IMPROVED INDOOR POSITIONING SYSTEM PERFORMANCE USING MACHINE LEARNING |
title_fullStr |
IMPROVED INDOOR POSITIONING SYSTEM PERFORMANCE USING MACHINE LEARNING |
title_full_unstemmed |
IMPROVED INDOOR POSITIONING SYSTEM PERFORMANCE USING MACHINE LEARNING |
title_sort |
improved indoor positioning system performance using machine learning |
publishDate |
2023 |
url |
https://scholarbank.nus.edu.sg/handle/10635/242638 |
_version_ |
1770563431662878720 |