69 citations · 96 across the 3 of their papers we have counts for
3 papers · 1 filter
Indoor Localization Under Limited Measurements: A Cross-Environment Joint Semi-Supervised and Transfer Learning Approach
Mohamed I. AlHajri, Raed M. Shubair, Marwa Chafii
The development of highly accurate deep learning methods for indoor localization is often hindered by the unavailability of sufficient data measurements in the desired environment…
Indoor Localization for IoT Using Adaptive Feature Selection: A Cascaded Machine Learning Approach
Mohamed I. AlHajri, Nazar T. Ali, Raed M. Shubair
Evolving Internet-of-Things (IoT) applications often require the use of sensor-based indoor tracking and positioning, for which the performance is significantly improved by identif…
Accurate and Robust Localization Techniques for Wireless Sensor Networks
Mohamed AlHajri, Abdulrahman Goian, Muna Darweesh +4
The report focuses on three areas in particular: the first is the Received Signal Strength indicator technique, Direction of Arrival technique, and the integration of two algorithm…