Rapidly-evolving smart grid technologies add complexity for electric utilities working to maintain a balanced network and ...

The model reveals that more connected brain regions are more prone to damage, while isolated areas remain resilient. This approach offers a powerful framework for understanding disease progression and ...

Mathematics may not be the first thing people associate with Alzheimer’s disease research. But for Pedro Maia, an assistant professor of mathematics and data science at The University of Texas at ...

This study proposes a novel hybrid Topological Data Analysis (TDA) and Graph Neural Network (GNN) to optimize credit risk assessment in SCF. By leveraging BallMapper (BM) topological data analysis ...

We present the results of two controlled experiments to compare ER and UML class diagrams, in order to find out which of the models provides better support during the comprehension of data models. The ...