In general, a feature can be defined as a pattern occurring in a dataset that is the
manifestation of correlations among various components of the data. For many features that …

Robust automated vortex detection algorithms are needed to facilitate the exploration of
large‐scale turbulent fluid flow simulations. Unfortunately, robust non‐local vortex detection …

In this paper, we present a verification algorithm for swirling features in flow fields, based on
the geometry of streamlines. The features of interest in this case are vortices. Without a …

Although vortex analysis and detection have been extensively investigated in the past, none
of the existing techniques are able to provide fully robust and reliable identification results …

Information by itself is no longer perceived as an asset. Billions of business transactions are
recorded in enterprise scale data warehouses every day. The acquisition, storage and …

ABSTRACT A framework based on incremental proper orthogonal decomposition (iPOD)
and data mining to perform large-scale computational data analysis is presented. It includes …

The process of data mining converts information to knowledge by using tools from the
disciplines of computational statistics, database technologies, machine learning, signal …

After Turing's ingenious work on the chemical basis of morphogenesis fifty years ago,
reaction-diffusion patterns have been extensively studied in terms of modelling and analysis …

Turbulent problems in industrial applications are predominantly solved using Reynolds
Averaged Navier Stokes (RANS) turbulence models. The accuracy of the RANS models is …

Numerical simulation is replacing experimentation as a means to gain insight into complex
physical phenomena. Analyzing the data produced by such simulations is extremely …