1 citations · 1 across the 3 of their papers we have counts for
3 papers
Denoising 3D images: robustness of persistent homology measures
Ebru Dagdelen, Aakash Karlekar, Manav Arora +4
When computing sub/super-level-set persistent homology (PH), the effect of noise may introduce millions of (short-lived) topological generators, presenting an obstacle to both the…
Topological Data Analysis combined with Machine Learning for Predicting Permeability of Porous Media
Ebru Dagdelen, Catherin Neena Lalu, Aakash Karlekar +5
Flow in porous media is difficult to address using standard analytical or numerical methods due to its complexity. However, since synthetic representations of porous media are easy…
Stochastic Modeling of Filtration with Sieving in Graded Pore Networks
Binan Gu, Pejman Sanaei, Lou Kondic +1
We model filtration of a feed solution, containing both small and large foulant particles, by a membrane filter. The membrane interior is modeled as a network of pores, allowing fo…