The Internet of Things (IoT) has revolutionized the world, connecting billions of devices that
offer assistance in various aspects of users' daily lives. Context-aware IoT applications …

The participatory nature of federated learning (FL) makes it attractive for fingerprinting-based
indoor localization in multibuilding and multifloor environments. A group of sensing clients …

With rising demand for indoor location-based services (LBS) such as location-based
marketing, mobile navigation, etc., there has been considerable interest in indoor …

Indoor localization has become an essential demand driven by indoor location-based
services (ILBSs) for mobile users. With the rising of Internet of Things (IoT), heterogeneous …

Action segmentation serves as a pivotal component in comprehending videos,
encompassing the learning of a sequence of semantically consistent action units known as …

Radio map construction requires a large amount of radio measurement data with location
labels, which imposes a high deployment cost. This paper develops a region-based radio …

The self-localization of wireless sensor networks (WSNs) is facing the problem of insufficient
positioning accuracy in indoor environment due to multipath and interference issues. At the …

Wireless indoor localization has become unavoidable for industrial indoor location-based
services. Given the ubiquitous deployment of wireless access points (APs), Wi-Fi …

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 …

The demand for scalable indoor localization systems is increasing more than ever due to the
emerging phenomena of the Internet of Things, industry 5.0, where humans and robots work …