Xuanrui Zhang Advances Financial Security Through Real-Time Machine Learning and Graph-Based Fraud Detection

A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...
EurekAlert!

D2-GCN: a graph convolutional network with dynamic disentanglement for node classification

Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...

China State Construction Fourth Engineering Division South Construction Applies for Low-Carbon Data Center Patent, Innovating Thermal Load Prediction Technology

Combination of Multi-Modal Sensors and Spatio-Temporal Graph Convolutional Networks The core content of the patent involves a novel low-carbon control method that utilizes a multi-modal sensor network ...

Tianma Motorcycle Applies for Engine Fault Prediction Patent: Can AI Technology Change the Industry?

This patent utilizes a dynamic graph convolutional network model to capture the changes in the coupling relationships between various engine parameters. Unlike traditional monitoring methods, it can ...
JSTOR Daily

Application of a new one-dimensional deep convolutional neural network for intelligent fault diagnosis of rolling bearings

As one of the key parts of rotary machine, the fault diagnosis and running condition monitoring of rolling bearings are of great importance for normal working and safe production of rotary machine.