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).

Syncronicity project IEEE Internet of Things Journal

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.

Nowadays, the Internet of Things (IoT) ecosystem is experiencing a lack of interoperability across the multiple competing platforms that are available.

Conference Paper for the Global IoT Summit 2019 (GIoTS) in Aarhus, Denmark.

Conference Paper for the International Symposium on Wireless Personal Multimedia Communications at Lisboa

Conference: 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), At Genoa, Italy 10.1109/EEEIC.2019.8783709, 2019/06/13

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.

ATOS Blog: https://atos.net/en/blog/artificial-intelligence-second-phase-iot-part-1

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