Abstract
Recent advances in computational and measurement techniques have enabled an increasingly detailed study of fluids. However, this exponential growth in data volume presents major challenges. The first of these is the extraction of conclusions and relevant information from this vast set of data. Furthermore, experimental cases often suffer from strong noise when advanced techniques are empl…