Machine learning for indoor positioning based on received signal strength
Indoor positioning is a key technology enabler for various smart systems that require location-based optimization and automation. Despite its potential, the field of indoor positioning faces numerous challenges in terms of accuracy, precision, computational complexity, power consumption, robustness,...
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| Format: | Thesis |
| Language: | English |
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2018
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| Online Access: | https://hdl.handle.net/10356/89317 http://hdl.handle.net/10220/46235 |