Interpretable Physics Informed WiFi Indoor Localization: Learning an Effective Access Point Geometry and Using It to Prune
Experiments show that physics-informed interpretability can improve indoor localization while also supporting effective feature selection, and show that geometry-guided AP selection performs comparably to selectors built directly from labelled data.
Arshia Eftekhari Zadeh, Rezvan Nasiri, H. Moradi
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