Many industries depend on high-sensitivity analyses to ensure product performance and to protect consumer health and safety.

In this paper, a graph-theory-based approach for representing planar mechanisms is presented, the Santiago Portilla method (SPM). From the corresponding adjacency matrix, SPM generates an extended ...

Graphs, visual representations outlining the relationships between different entities, concepts or variables, can be very ...

The graph below shows the total number of publications each year in Quantum Graphs and Random Matrix Theory in Chaotic Systems. References [1] Ohm’s law lost and regained: observation and impact ...

Aiming at the lack of uniform mathematical model for multivariate graphs representation based on coordinate, a general model based on complex matrix is presented by analyzing and studying the ...

In graphical-based chemistry machine learning (ML) models, a precise atomic correlation depiction, known as molecular topology, can significantly increase the model’s performance. However, owing to ...

Discover which Pokémon are supper effective against which with our Pokémon Go Type Chart, highlighting the strengths and weaknesses of each type.

Understanding the differences between business intelligence, artificial intelligence, and data analytics can be a challenge to many people. For many business processes, there seems to be so much ...

And, graph neural networks (GNNs) based anomaly detection methods attract considerable research interests due to the power of modeling attributed graphs. However, the convolution operation of GNNs ...