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Experimental Evaluation of Machine Learning Methods for Robust Received Signal Strength-Based Visible Light Positioning
In this work, the use of Machine Learning methods for robust Received Signal Strength (RSS)-based Visible Light Positioning (VLP) is experimentally evaluated. The performance of Multilayer Perceptron (MLP) models and Gaussian processes (GP) is investigated when using relative RSS input features. The...
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| Foilsithe in: | Sensors (Basel) |
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| Main Authors: | , , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
MDPI
2020
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7663557/ https://ncbi.nlm.nih.gov/pubmed/33121055 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20216109 |
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