3 citations · 4 across the 3 of their papers we have counts for
3 papers
Rectangular knot diagrams classification with deep learning
L. H. Kauffman, N. E. Russkikh, I. A. Taimanov
In this article we discuss applications of neural networks to recognising knots and, in particular, to the unknotting problem. One of motivations for this study is to understand ho…
Representative elementary volume via averaged scalar Minkowski functionals
M. V. Andreeva, A. V. Kalyuzhnyuk, V. V. Krutko +2
Representative Elementary Volume (REV) at which the material properties do not vary with change in volume is an important quantity for making measurements or simulations which repr…
Hydrocephalus verification on brain magnetic resonance images with deep convolutional neural networks and "transfer learning" technique
Alexey Demyanchuk, Ekaterina Pushkina, Nikolay Russkikh +2
The hydrocephalus can be either an independent disease or a concomitant symptom of a number of pathologies, therefore representing an urgent issue in the present-day clinical pract…