The number of connected mobile devices and Internet of Things (IoT) is growing around us,
rapidly. Since most of people's daily activities are relying on these connected things or …

The last few decades have witnessed a growing interest in location-based services. Using
localization systems based on Radio Frequency (RF) signals has proven its efficacy for both …

Contactless RF-based sensing techniques are emerging as a viable means for building
gesture recognition systems. While promising, existing RF-based gesture solutions have …

Map matching is a fundamental component for location-based services (LBSs), such as
vehicle mobility analysis, navigation services, traffic scheduling, etc. In this paper, we …

Counting humans is an essential part of many people-centric applications. In this paper, we
propose CrossCount: an accurate deep-learning-based human count estimator that uses a …

The demand for a ubiquitous and accurate indoor localization service is continuously
growing. Cellular-based systems are a good candidate to provide such ubiquitous service …

Wi-Fi-based indoor fingerprinting is attracting increasing interest in the research community
due to the ubiquitous access in indoor environments. In this article, we propose ResLoc, a …

Map matching for cellular data is to transform a sequence of cell tower locations to a
trajectory on a road map. It is an essential processing step for many applications, such as …

The demand for a ubiquitous and accurate indoor localization service is continuously
growing. Despite the pervasive nature of cellular-based solutions, their localization quality …

Brain tumor detection can make the difference between life and death. Recently, deep
learning-based brain tumor detection techniques have gained attention due to their higher …