Researchers have developed an intelligent decision support system for CNC system fault diagnosis, utilizing LLMs and domain knowledge graph (KG) technologies.

Accurately modeling chemical reactions in molecular dynamics simulations requires detailed pre- and postreaction templates, often created through labor-intensive manual workflows. This work introduces ...

In Graph Explorer, the "Request Body" input field does not allow normal typing behavior. Users are only able to type one character at a time—after each keystroke, they must re-click into the field to ...

The influence of other working parts on the cab of a combine harvester will lead to increased vibration. The traditional time-frequency domain method for vibration signal analysis will result in a ...

Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation (WWW-2025). This is a PyTorch implementation of the GraphATA algorithm, which tries to address the ...

However, domain-specific approaches for extracting knowledge graph representations from semantic information remain limited. In this paper, we develop a natural language processing (NLP) approach to ...

The inverse Fourier transform (inverse FFT or iFFT) reverses the operation of the Fourier transform and derives a time-domain representation from a frequency-domain dataset. In early 2024, EE World ...

The MFF module uses temporal convolutional kernels of different scales to extract frequency domain features of EEG data at various scales. These multi-scale frequency domain features are then weighted ...

The fast-rising pace of attacks is driving a graph database arms race across leading cybersecurity providers.