IEEE

A New Algorithm of Cubic Dynamic Uncertain Causality Graph for Speeding Up Temporal Causality Inference in Fault Diagnosis

Abstract: Representing and reasoning uncertain causalities have diverse applications in fault diagnosis for industrial systems. Owing to the complicated dynamics and a multitude of uncertain factors ...
IEEE

Finding Neural Biomarkers for Motor Learning and Rehabilitation Using an Explainable Graph Neural Network

Abstract: Human motor learning is a neural process essential for acquiring new motor skills and adapting existing ones, which is fundamental to everyday activities. Neurological disorders such as ...
GitHub

shapes3d.scad

Some standard modules for making 3d shapes with attachment support, and function forms that produce a VNF. Also included are shortcuts cylinders in each orientation and extended versions of the ...
C&EN

Diversity of Function-Related Conformational Changes in Proteins: Coordinate Uncertainty, Fragment Rigidity, and Stability

∥ L. H. Baker Center for Bioinformatics and Department of Biochemistry, Biophysics and Molecular Biology, 112 Office and Lab Building, Iowa State University, Ames, Iowa 50011-3020 *To whom ...
GitHub

NVIDIA Context Aware RAG

Context Aware RAG is a flexible library designed to seamlessly integrate into existing data processing workflows to build customized data ingestion and retrieval (RAG) pipelines. With Context Aware ...