With the development of new technologies, particularly Internet of Things (IoT), there has
been an increase in the deployment of low-cost air quality monitoring systems. Compared to …

Urban air pollution monitoring with mobile, portable, low-cost sensors has attracted
increasing research interest for their wide spatial coverage and affordable expenses to the …

Air quality and the associated subjective and health-related quality of life are among the
important topics of urban life in our time. However, it is very difficult for many cities to take …

In this paper, we consider the problem of blindly calibrating a mobile sensor network-ie,
determining the gain and the offset of each sensor-from heterogeneous observations on a …

Participatory Sensing, ie collaboratively taking sensor measurements with mobile devices in
a Citizen Science fashion, has become increasingly popular. Because such scenarios often …

In the last years, environmental monitoring was shown to be a major application field of
modern signal processing and machine learning techniques. In particular, it provides some …

We present an automated approach for generating or verifying metadata associated with an
RF sensor, such as the sensor location, using signals of opportunity (SoOp) in the …

The ubiquity of ever-connected smartphones has lead to new sensing paradigms that
promise environmental monitoring in unprecedented temporal and spatial resolution …

This dissertation deals with the question of how fine dust can be measured using low-cost
sensors and with high resolution, both spatially and temporally. For this purpose, a novel …

Participatory citizen sensing (PCS) systems are a particular type of information system
covering different activities of citizens, in which they actively report some problem they …