Results 101 to 110 of about 113,956 (308)
Advanced Engineering Materials, EarlyView.Laser powder‐bed fusion (L‐PBF) can produce dense WE43 magnesium alloy parts, but their mechanical properties are limited by a nonhomogeneous microstructure. This study investigates the effects of varying direct aging (T5) and artificial age‐hardening (T6) conditions on microstructure and strength. Optimized T6 treatment significantly improves strength
Prathviraj Upadhyaya +5 more
wiley +1 more source
Enhanced Adjacency Matrix-Based Lightweight Graph Convolution Network for Action Recognition. [PDF]
Sensors (Basel), 2023 Zhang D, Deng H, Zhi Y.
europepmc +1 more source
A New Perspective on the Average Mixing Matrix
, 2017 We consider the continuous-time quantum walk defined on the adjacency matrix of a graph. At each instant, the walk defines a mixing matrix which is doubly-stochastic. The average of the mixing matrices contains relevant information about the quantum walk
Coutinho, Gabriel +3 more
core
Advanced Engineering Materials, EarlyView.This study investigates the mechanical properties of Carbon/Aramid intraply hybrid fiber‐reinforced Elium composites under 6 months of water aging. After aging, flexural strength decreases by 25.89%, tensile strength by 4.40%, and fracture toughness by 21.56%.
Muhammed Huseyin Guzel, Gurol Onal
wiley +1 more source
γ-Inverse graph of some mixed graphs
Special MatricesLet GG be a graph. Then, the inverse graph G−1{G}^{-1} of GG is defined to be a graph that has adjacency matrix similar to the inverse of the adjacency matrix of GG, where the similarity matrix is ±1\pm 1 diagonal matrix. In this article, we introduced a
Boulahmar Wafa +2 more
doaj +1 more source
The adjacency spectrum of two new operations of graphs
AKCE International Journal of Graphs and Combinatorics, 2018 Let be a graph and be its adjacency matrix. The eigenvalues of are the eigenvalues of and form the adjacency spectrum, denoted by . In this paper, we introduce two new operations and , and describe the adjacency spectra of and of regular graphs , and ...
Dijian Wang, Yaoping Hou, Zikai Tang
doaj +1 more source
Dynamic Correlation Adjacency-Matrix-Based Graph Neural Networks for Traffic Flow Prediction. [PDF]
Sensors (Basel), 2023 Gu J, Jia Z, Cai T, Song X, Mahmood A.
europepmc +1 more source
Evaluating adjacency matrix for network visualization
, 2021 Adjacency Matrix (AM) is one of the commonly used techniques to visualize networks. While an AM provides a clean and compact representation for dense networks, several studies have shown that it is not suitable for path-related tasks. Several visualization techniques have been proposed to address this limitation.
openaire +2 more sources
On the mixed adjacency matrix of a mixed graph
Linear Algebra and its Applications, 2016 A mixed graph is a graph with edges and arcs, which can be considered as a hybrid of an undirected graph and a directed graph. In this paper we define the mixed adjacency matrix and the mixed energy of a mixed graph. The mixed adjacency matrix generalizes both the adjacency matrix of an undirected graph and the skew-adjacency matrix of a digraph.
Adiga, Chandrashekar +2 more
openaire +3 more sources
Shape Memory Polymer‐Based Hook‐and‐Loop Fastener for Robust Bonding and on‐Demand Easy Separation
Advanced Engineering Materials, EarlyView.A 3D shape memory polymer‐based hook‐and‐loop fastener, fabricated using projection microstereolithography and molding, offers tunable bonding strength through temperature control. When heated from 25 to 70 °C, the fastener softens and deforms easily, reducing bonding strength by 20‐fold for on‐demand easy separation.
Chen Yang +5 more
wiley +1 more source