The Internet of Things (IoT) and cloud technologies have been the main focus of recent
research, allowing for the accumulation of a vast amount of data generated from this diverse …

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 …

Robust and accurate indoor localization has been the goal of several research efforts over
the past decade. Toward achieving this goal, WiFi fingerprinting-based indoor localization …

Because outliers are very different from the rest of the data, it is natural to represent outliers
by their distances to other objects. Furthermore, there are many scenarios in which only …

Japan was hit by typhoon Hagibis, which came with torrential rains submerging almost eight-
thousand buildings. For fast alleviation of and recovery from flood damage, a quick, broad …

The demand for safety-boosting systems is increasing, especially nowadays, to limit the
rapid spread of COVID-19. Real-time life-logging is an essential application towards tracking …

Indoor localization is a key component of pervasive and mobile computing. Due to the
widespread use of WiFi technology, WiFi fingerprinting is one of the most widely utilized …

Density-based algorithms are important data clustering techniques used to find arbitrary
shaped clusters and outliers. Recently, outlier detectors through density-based clustering …

The development of the Internet of Things (IoT) opens the doors for innovative solutions in
indoor positioning systems. Recently, light-based positioning has attracted much attention …

Traditional outlier detections are inadequate for high-dimensional data analysis due to the
interference of distance tending to be concentrated (“curse of dimensionality”). Inspired by …