Defining and evaluating data quality can be a complex task as it varies depending on the
specific purpose for which the data is intended. To effectively assess data quality, it is …

Digital Earth (DE), a technology offering real-time visualisation of Earth's processes, has
shown promising results in aiding decision-making for a sustainable world, raising …

Passive mobile sensing for the purpose of human state modeling is a fast-growing area. It
has been applied to solve a wide range of behavior-related problems, including physical …

Smart Sensor Networks (SSN) are the core data transmission infrastructure of the Internet of
Things. However, SSN devices are resource-constrained and the environment in which the …

Mobile sensors are increasingly used to monitor air quality to accurately quantify human
exposure to air pollution. These sensors are subject to various issues (misuse, malfunctions …

This work addresses challenges in IoT data quality management. IoT applications in
domains like Smart Cities, Smart Healthcare, and Industry 4.0 rely on the Internet for …

Smartphones are key devices in the Internet of Things paradigm. Social networking services
on the Internet can use smartphones applications as data providers. The data gathered from …

Mobile sensors are being widely used to monitor air quality to quantify human exposure to
air pollution. These sensors are prone to malfunctions, resulting in many data quality issues …

The wide availability of low-cost sensors equipped on smartphones has enabled diverse
applications, but large-scale deployments in the wild usually face performance challenges …

The Internet of Things consists of “things” made up of small sensors and actuators capable
of interacting with the environment. The combination of devices with sensor networks and …