Indoor localization is a key research area and has been stated as a major goal for Sixth
Generation (6G) communications. Indoor localization faces many challenges, such as harsh …

Indoor localization plays a vital role in applications such as emergency response,
warehouse management, and augmented reality experiences. By deploying machine …

Improving the performance of artificial neural network (ANN) regression models on small or
scarce data sets, such as wireless network positioning data, can be realized by simplifying …

Developing a reliable and accurate indoor localization system is a crucial step for creating a
seamless and interactive user-device experience in nearly all intelligent internet of things …

The pervasive integration of Indoor Positioning Systems (IPS) arises from the limitations of
Global Navigation Satellite Systems (GNSS) in indoor environments, leading to the …

Indoor localization (IL) systems are crucial for enhancing operational efficiency, safety, and
user experience by allowing precise tracking of objects, robots, or individuals within various …

Floor labels of crowdsourced RF signals are crucial for many smart-city applications, such as
multi-floor indoor localization, geofencing, and robot surveillance. To build a prediction …

Over the past few years, WIFI indoor localization has attracted a lot of attention, particularly
due to people spending increasing amounts of time indoors. Nonetheless, achieving …

As a promising indoor localization technology, WiFi fingerprint-based localization
encounters many issues that need to be addressed urgently, such as high-overhead …

Location estimation in indoor environments using radiofrequency (RF) has garnered
considerable attention in recent years owing to the widespread adoption of mobile devices …