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Adaptive Multi-Type Fingerprint Indoor Positioning and Localization Method Based on Multi-Task Learning and Weight Coefficients K-Nearest Neighbor

The complex indoor environment makes the use of received fingerprints unreliable as an indoor positioning and localization method based on fingerprint data. This paper proposes an adaptive multi-type fingerprint indoor positioning and localization method based on multi-task learning (MTL) and Weight...

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Veröffentlicht in:Sensors (Basel)
Hauptverfasser: Yuan, Zhengwu, Zha, Xupeng, Zhang, Xiaojian
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI 2020
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7570491/
https://ncbi.nlm.nih.gov/pubmed/32967320
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20185416
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