One of the group's main activities involves distributed data mining. The GOLF framework developed earlier was extended with the capability to adapt to dynamically changing environments and concept drift. The basic idea behind this method is to maintain a fixed age distribution in the network among the models. Young models help in adapting to sudden changes, while older models represent stabilit...

One of the group's main activities involves distributed data mining. The GOLF framework developed earlier was extended with the capability to adapt to dynamically changing environments and concept drift. The basic idea behind this method is to maintain a fixed age distribution in the network among the models. Young models help in adapting to sudden changes, while older models represent stabilit...

One of the group's main activities involves distributed data mining. The GOLF framework developed earlier was extended with the capability to adapt to dynamically changing environments and concept drift. The basic idea behind this method is to maintain a fixed age distribution in the network among the models. Young models help in adapting to sudden changes, while older models represent stabilit...

One of the group's main activities involves distributed data mining. The GOLF framework developed earlier was extended with the capability to adapt to dynamically changing environments and concept drift. The basic idea behind this method is to maintain a fixed age distribution in the network among the models. Young models help in adapting to sudden changes, while older models represent stabilit...

One of the group's main activities involves distributed data mining. The GOLF framework developed earlier was extended with the capability to adapt to dynamically changing environments and concept drift. The basic idea behind this method is to maintain a fixed age distribution in the network among the models. Young models help in adapting to sudden changes, while older models represent stabilit...

One of the group's main activities involves distributed data mining. The GOLF framework developed earlier was extended with the capability to adapt to dynamically changing environments and concept drift. The basic idea behind this method is to maintain a fixed age distribution in the network among the models. Young models help in adapting to sudden changes, while older models represent stabilit...

In this study, turbulent flow around a tube bundle in non-orthogonal grid is simulated using the Large Eddy Simulation (LES) technique and parallelization of fully coupled Navier – Stokes (NS) equations. To model the small eddies, the Smagorinsky and a mixed model was used. This model represents the effect of dissipation and the grid-scale and subgrid-scale interactions. The fully coupled NS eq...

In this study, turbulent flow around a tube bundle in non-orthogonal grid is simulated using the Large Eddy Simulation (LES) technique and parallelization of fully coupled Navier – Stokes (NS) equations. To model the small eddies, the Smagorinsky and a mixed model was used. This model represents the effect of dissipation and the grid-scale and subgrid-scale interactions. The fully coupled NS eq...

We propose a fully distributed control system architecture, amenable to in-vehicle implementation, that aims safely coordinate connected and automated vehicles (CAVs) at road intersections. For purposes, we build upon model predictive approach, in which the agents solve nonconvex optimal problem (OCP) locally synchronously, exchange their optimized trajectories via vehicle-to-vehicle (V2V) comm...