Abstract: The recently developed approach to motion planning in graphs of convex sets (GCS) provides an efficient framework for computing shortest-distance collision-free paths using convex ...

Baptist Medical Center, Department of Behavioral Health, Jacksonville, FL, United States Introduction: This study investigates four subdomains of executive functioning—initiation, cognitive inhibition ...

In this tutorial, we demonstrate how to construct an automated Knowledge Graph (KG) pipeline using LangGraph and NetworkX. The pipeline simulates a sequence of intelligent agents that collaboratively ...

Abstract: This study explores the use of Graph Neural Networks (GNNs) to classify enzyme functions using the ENZYMES dataset, which represents proteins and their interactions as graphs. The literature ...

Human pose estimation is a cutting-edge computer vision technology that transforms visual data into actionable insights about human movement. By utilizing advanced machine learning models like ...

Recent work has established an alternative to traditional multi-layer perceptron neural networks in the form of Kolmogorov-Arnold Networks (KAN). The general KAN framework uses learnable activation ...

Situation: Azure Function, ServiceBus trigger, "standard" AF setup for NET8 isolated. We have a Serilog logging back-end that sends data to Seq. No matter what I do from the solutions mentioned in the ...