Abstract: One of the main goals of the Internet of Things(IoT) systems is to achieve intelligent interaction of IoT devices. Event prediction is one of the approaches to achieve intelligent ...

A Python package for working with graphs representing minimal implicational logic models. This library provides tools for constructing and manipulating type systems based on combinatory logic, with ...

Abstract: Graph clustering is a popular method to understand networks and make them accessible for downstream Machine Learning tasks. Especially for large networks, the results of graph clustering are ...

The logic of the hydrophobicity graph x-axis labels should be changed: 1.1. Nice numbers should be: 1, 2, 3, 5, 10, 20, ..., 80, 90, 100, 150, ..., 850, 900, 1000 ...

Looks can be deceiving and that's one of the problems with today's three-dimensional bar graph. While these graphs may look correct, researchers from the Johns Hopkins Bloomberg School of Public ...

In this study, we propose a novel defect localization method that integrates the graph neural network (GNN) with the finite element method (FEM) to estimate the three-dimensional location of defects ...