Cory B. Scott

TL;DR: A deep learning model is proposed to predict the entire sequence of maximum internal stress based on fracture propagation and the initial stress data, using the Temporal Independent Convolutional Neural Network (TI-CNN) and the Bidirectional Long Short-term Memory (Bi-LSTM) Network, to reduce computational cost while preserving accuracy.

TL;DR: In this paper, a multigrid modeling algorithm is used to accelerate iterative method models running on a hierarchy of similar graphlike structures, and a new method for traini...

TL;DR: In this article, the authors define a family of similarity and distance measures on graphs, and explore their theoretical properties in comparison to conventional distance metrics, which are defined by the solution(s) to an optimization problem which attempts find a map minimizing the discrepancy between two graph Laplacian exponential matrices, under norm-preserving and sparsity constraints.

TL;DR: In this paper, the authors provided conditions under which the group generated by Rijndael-like round functions based on operations of the finite field (GF (p^k)$ ($p\geq 2$) is equal to the symmetric group or the alternating group on the state space.