Indoor Localization for IoT Using Adaptive Feature Selection: A Cascaded Machine Learning Approach

no code implementations • 3 May 2019 • Mohamed I. AlHajri, Nazar T. Ali, Raed M. Shubair

This paper presents a novel method based on a cascaded two-stage machine learning approach for highly-accurate and robust localization in indoor environments using adaptive selection and combination of RF features.

BIG-bench Machine Learning feature selection +1