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 …

Real-time monitoring and optimization of production and logistics processes significantly
improve the efficiency of production systems. Advanced production management solutions …

Machine Learning framework adds a new dimension to the localization estimation problem.
It tries to find the most likely position using processed features in a radio map. This paper …

Indoor positioning has attracted considerable interest in both the industry and academic
communities because of its wide range of applications, such as asset tracking, healthcare …

Indoor localisation has gained significant attention in recent years due to its applications in
various domains, including robotics, asset tracking, and location-based services. Traditional …

In the era of big data and artificial intelligence, machine learning has become a crucial tool
for extracting insights and making predictions across various domains. Bayes' theorem, a …

A mean-offset classification technique was identified. It was found that the meanoffset
classifier provides stability under dynamic indoor conditions and provides consistent results …