IEEE

Group-Aware Robot Navigation in Crowds Using Spatio-Temporal Graph Attention Network With Deep Reinforcement Learning

Abstract: Robots are becoming essential in human environments, requiring them to behave in a socially compliant manner. Although previous learning-based methods have shown potential in social ...
ascopubs.org

Factors Associated With Implementation of Biomarker Testing and Strategies to Improve Its Clinical Uptake in Cancer Care: Systematic Review Using Theoretical Domains Framework

We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. 19 Table 1 summarizes the eligibility criteria. Study design Quantitative (interventional or ...
Journal of Medical Internet Research

Large Language Model–Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study

Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...
IEEE

Dynamic Scheduling With Task Migration in Cloud Manufacturing Using Hybrid Federated Deep Reinforcement Learning and Graph Neural Network Model

Abstract: Cloud Manufacturing (CMfg) serves as a pivotal platform, seamlessly integrating enterprise resources and consumer demands, thus playing a central role in task scheduling and service ...
GitHub

[ICML 2025] Reaction Graph: Towards Reaction-Level Modeling for Chemical Reactions with 3D Structures

Chemical reactions happen when atoms rearrange themselves, turning molecules into something new—like making medicines or new materials. But current AI methods still aren't good at guessing how ...