3 papers
cs.CV2020
Machine learning approach to force reconstruction in photoelastic materials
Renat Sergazinov, Miroslav Kramar
Photoelastic techniques have a long tradition in both qualitative and quantitative analysis of the stresses in granular materials. Over the last two decades, computational methods…
cond-mat.soft2018
Dynamics of silo deformation under granular discharge
Claudia Colonnello, Miroslav Kramar
We use Topological Data Analysis to study the post buckling behavior of laboratory scale cylindrical silos under gravity driven granular discharges. Thin walled silos buckle during…
math.AT2018
A Comparison Framework for Interleaved Persistence Modules
Shaun Harker, Miroslav Kramar, Rachel Levanger +1
We present a generalization of the induced matching theorem and use it to prove a generalization of the algebraic stability theorem for -indexed pointwise finite-dimens…