In terms of the calibre and variety of services offered to end users, smart city management is undergoing a dramatic transformation.

Data scientists spend much time with data cleaning tasks, and this is especially important when dealing with data gathered from sensors, as finding failures is not unusual (there is an abundance of research on anomaly detection in sensor data).

3D personal data is a type of data that contains useful information for product design, online sale services, medical research and patient follow-up.

The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept.

While several application domains are exploiting the added-value of analytics over various datasets to obtain actionable insights and drive decision making, the public policy management domain has not yet taken advantage of the full potential of the aforementioned analytics and data models.

In the field of plant disease protection, many approaches exist, but all acknowledge the necessity of fast and accurate identification of the source in order to make the most efficient applications.

In general, one of the complexities of large simulations is related to the usage of the heterogeneous computational resources that are needed to execute them. The definition of workflows, usually linked to concrete orchestrations solutions, has reduced most of that complexity.

32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA). DOI: 10.1109/WAINA.2018.00120

Accurate digital twinning of the global challenges (GC) leads to computationally expensive coupled simulations.

In the era of Big Data and AI, it is challenging to know all technical and business advantages of the emerging technologies.