The indoor positioning system (IPS) is becoming increasing important in accurately
determining the locations of objects by the utilization of micro-electro-mechanical-systems …

We give an overview of recent developments in the modeling of radiowave propagation,
based on machine learning (ML) algorithms. We identify the input and output specification …

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 …

The indoor positioning service is one of the essential services needed in the Internet of
Things ecosystem. Recently, many researchers have focused on the fingerprinting method …

The growth of the Internet of Things (IoT) continues to be rapid, making it an essential part of
information technology. As a result, IoT devices must be able to handle data collection …

The intelligent use of deep learning (DL) techniques can assist in overcoming noise and
uncertainty during fingerprinting-based localization. With the rise in the available …

With the ever-increasing demand for location-based services in the indoor environments, Wi-
Fi-based positioning technology has attracted much attention in decades of years because …

Nowadays, there are a multitude of solutions for indoor positioning, as opposed to standards
for outdoor positioning such as GPS. Among the different existing studies on indoor …

With the increasing demand for location-based services, Wi-Fi-based indoor positioning
technology has attracted much attention in recent years because of its ubiquitous …

In a world increasingly pervaded by mobile and IoT devices, position-related information is
gaining more and more importance. Highly accurate and standardized positioning …