Location‐based services have attracted significant attention since the concept of Industry 4.0
was proposed and the 'Internet+'era began owing to its social and commercial value. Many …

Indoor localization has the capability to change the way of providing location-based services
in a closed environment and has more potential than that of GPS if the present shortcomings …

In the recent past, we have witnessed the adoption of different machine learning techniques
for indoor positioning applications using WiFi, Bluetooth and other technologies. The …

With the ubiquitous deployment of wireless systems and pervasive availability of smart
devices, indoor localization is empowering numerous location-based services. With the …

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 …

Indoor localization of mobile nodes is receiving great interest due to the recent advances in
mobile devices and the increasing number of location-based services. Fingerprinting based …

Several location-based services require accurate location information in indoor
environments. Recently, it has been shown that deep neural network (DNN) based received …

The demand for a ubiquitous and accurate indoor localization service is continuously
growing. Current solutions for indoor localization usually depend on using the embedded …

Outdoor positioning systems based on the Global Navigation Satellite System have several
shortcomings that have deemed their use for indoor positioning impractical. Location …

Indoor localization has been an active research field for decades, due to its wide range of
applications. WiFi fingerprinting, which estimates the user's locations using pre-collecting …