The paper “Intelligent Fault Diagnosis for CNC Through the Integration of Large Language Models and Domain Knowledge Graphs,” is authored by Yuhan Liu, Yuan Zhou, Yufei Liu, Zhen Xu, Yixin He.

We previously introduced a “range corrected” Δ−machine learning potential (ΔMLP) that used deep neural networks to improve the accuracy of combined quantum mechanical/molecular mechanical (QM/MM) ...

ABSTRACT This work aims to study the equitable total coloring into subfamilies of regular graphs. For this purpose, we use some relationships between equitable total coloring and range (vertex) ...

Functions are one of the most fundamental concepts in mathematics, serving as a cornerstone for topics in algebra, calculus and beyond. Basics of functions are stepping-stone to success in functions ...

The proposed method includes a multi-scale frequency domain feature extraction module, which uses 1-D channel convolutions of different scales to extract multi-scale frequency domain features.

This repository contains the official code and datasets for the paper, "Continuous Temporal Domain Generalization", accepted by NeurIPS 2024. TL;DR: The study proposes a method capable of generating ...

Dynamic graphs arise in various real-world applications, and it is often welcomed to model the dynamics in continuous time domain for its flexibility. This paper aims to design an easy-to-use pipeline ...

(C) The four different graph representations were constructed and decomposed into their associated modes. (D) Demonstrating the importance of LR connections, EDR+LR achieves a superior reconstruction ...

Background and Purpose— Assessment of autoregulation in the time domain is a promising monitoring method for actively optimizating cerebral perfusion pressure (CPP) in critically ill patients. The ...