The aim of the VKG 3.0 project is a new system for the diagnosis of vocal disorders, consisting of a new type of multi-line video camera and data processing software.

The aim of the project is to find new procedures and methods that allow the efficient synchronization and the decentralized control of complex networks, especially the elimination of some influences, for example, the time delays, quantization, change of the behavior of nodes, loss of connection, etc.

The project aims at advancing the mathematical modeling of nonlinear mechanical phenomena described by large strain deformations in three different directions.

PROVENANCE is an intermediary-free solution that gives greater control to users of social media and underpins the dynamics of social sharing in values of trust, openness, and fair participation. PROVENANCE will use blockchain to record multimedia content that is uploaded and registered by content creators or identified for registration by the PROVENANCE Social Network Monitor.

The objective of FitOptiVis is to develop a cross-domain approach for smart integration of image- and video-processing pipelines for CPS covering a reference architecture, supported by low-power, high-performance, smart devices, and by methods and tools for combined design-time and run-time multi-objective optimisation within system and environment constraints.

Anomaly detection, which aims to identity samples very different from majority, is an important tool of unsupervised data analysis. Currently, most methods for anomaly detection use relatively simple shallow models without any complex layers and hierarchies.