In the era of the Internet of Things (IoT) and Industry 4.0, the indoor usage of smart devices is
expected to increase, thereby making their location information more important. Based on …

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 …

Recently, various novel scenarios have been studied for indoor localization. The trilateration
is known as a classic theoretical model of geometric-based indoor localization, with uniform …

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 …

Location-based services have permeated Smart academic institutions, enhancing the quality
of higher education. Position information of people and objects can predict different potential …

The study of signals, processes, and systems has motivated the development of different
representations that can be used to analyze and understand them. Classical ways of …

Recently, radar-based human activity recognition (HAR) has attracted the attention of
researchers as it has been proven that a deep learning (DL) model can be automatically …

This paper proposes a long-range (LoRa)-based outdoor localization and tracking method.
Our method presents an unsupervised localization approach that utilizes symbolized LoRa …

Low‐power localisation systems are crucial for machine‐to‐machine communication
technologies. This article investigates LoRa technology for localisation using multiple …

Obtaining the position of ego-vehicle is a crucial prerequisite for automatic control and path
planning in the field of autonomous driving. Most existing positioning systems rely on GPS …