This research was supported by a Computational and Data-Enabled Science and Engineering (CDS&E) grant from the U.S. NSF, Division of Materials Research Award No. DMR 2302470. This work used Anvil at ...

Abstract: Pathfinding is widely applied when encountering autonomous driving, mobile robot pathfinding, and so on. Traditional pathfinding algorithms have certain limitations such as high ...

Applied Bioinformatics, Department for Computer Science, University of Tübingen, 72076 Tübingen, Germany Institute for Bioinformatics and Medical Informatics, University of Tübingen, 72076 Tübingen, ...

Advanced Learning Algorithms: This course covers the theory and practice of advanced learning algorithms, such as deep learning, reinforcement learning, and online learning. You will learn how to ...

Distortions from traditional dimensionality reduction methods obscure relationships in high-dimensional single-cell data, thus impeding biological insights. We introduce DTNE (diffusive topology ...

Although it is not intended to have the formal rigor of a book, we tried to be as faithful as possible to the original algorithms and methods, only adding variants, when these were necessary for ...

In the past few years, the importance of electric mobility has increased in response to growing concerns about climate change. However, limited cruising range and sparse charging infrastructure could ...