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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663557/ https://www.ncbi.nlm.nih.gov/pubmed/33121055 http://dx.doi.org/10.3390/s20216109 |