The last few decades have witnessed a growing interest in location-based services. Using
localization systems based on Radio Frequency (RF) signals has proven its efficacy for both …

Wireless fidelity (WiFi) indoor positioning has attracted the attention of thousands of
researchers. It faces many challenges, and the primary problem is the low positioning …

One of the most popular approaches for indoor positioning is WiFi fingerprinting, which has
been intrinsically tackled as a traditional machine learning problem since the beginning, to …

WiFi is widely used for indoor positioning because of its advantages such as long
transmission distance and ease of use indoors. To improve the accuracy and robustness of …

With the development of urbanization, the problem of neurological diseases brought about
by population aging has gradually become a social problem of worldwide concern. Aging …

Fingerprint-based indoor localization holds great potential for the Internet of Things. Despite
numerous studies focusing on its algorithmic and practical aspects, a notable gap exists in …

To improve the user's localization estimation in indoor and outdoor environment a novel
radiolocalization system using deep learning dedicated to work both in indoor and outdoor …

This article describes the results of a study of the joint use of various intelligent data
processing methods, such as neural networks and algorithms of the evidence theory. The …

Indoor human positioning has become increasingly important for applications such as health
monitoring, breath monitoring, human identification, safety and rescue operations, and …

Accuracies of most fingerprinting approaches for WiFi-based indoor localization applications
are affected by the qualities of fingerprint databases, which are time-consuming and labor …