Graph labeling is a central topic in combinatorial optimisation that involves assigning numerical or categorical labels to vertices or edges of a graph subject to specific constraints. This ...

Recent advances have addressed challenges such as high computational complexity in large-scale graphs, dynamic network changes, and the incorporation of label restrictions, thus broadening the ...

Abstract: Wireless sensor networks (WSNs) consist of tiny nodes that are capable ... which have different advantages and purposes. A WSN can be modeled as a graph that leads to use graph-theoretic ...

It is built around an Arduino Uno board (MOD1), an encoder (MOD2), a temperature sensor (S1), a current sensor (S2), a motor driver (DR1), and several additional components. EFY PRIME content is our ...

This is done by propagating labels on a set of graphs, each graph capturing how either the spatio-temporal or the appearance cues promote the assignment of identical or distinct labels to a pair of ...

State Key Laboratory of Silicate Materials for Architectures, Wuhan University of Technology, Luoshi Road 122, Wuhan 430070, PR China ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.