1 code implementation • 6 Oct 2020 • Abd AlRahman AlMomani, Erik Bollt
Data-driven sparse system identification becomes the general framework for a wide range of problems in science and engineering.
no code implementations • 1 Jun 2020 • Jie Sun, Abd AlRahman AlMomani, Erik Bollt
Automated learning of a Boolean network and Boolean functions, from data, is a challenging task due in part to the large number of unknowns (including both the structure of the network and the functions) to be estimated, for which a brute force approach would be exponentially complex.
no code implementations • 21 Apr 2020 • Abd AlRahman AlMomani, Erik Bollt
Our recently developed tool, called Directed Affinity Segmentation was originally designed for data-driven discovery of coherent sets in fluidic systems.
no code implementations • 25 Aug 2016 • Abd AlRahman AlMomani, Erik M. Bollt
We describe an image processing perspective inference of coherent sets from a fluidic system directly from image data, without attempting to first model underlying flow fields, related to a concept in image processing called motion tracking.