Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
ascopubs.org

Annotations-free survival prediction with WSIs using graph convolutional neural networks.

Treatment patterns of metastatic urothelial cancer in the United States. Prediction of immune checkpoint inhibitor (ICI) response in patients with urothelial cancer (UC) by a novel RNA-based ICI ...
Mirage News

Targeted Analysis to Unveil Gas Adsorption in MOFs

Traditional experimental methods for evaluating gas adsorption performance of metal–organic frameworks (MOFs) are costly and time-consuming, while ...
Embedded

Understanding convolutional neural networks

The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. A subsequent article, ...
AlphaGalileo

Targeted Analysis of Chemical Structural Characteristics at Different Scales Is Expected to Deepen the Understanding of Gas Adsorption Mechanisms in Metal–Organic Frameworks

A recent study published in Engineering proposes a multi-scale crystal graph and its multi-head attention network to predict the gas adsorption ...

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 ...
ascopubs.org

Tissue of origin detection for cancer tumor using low-depth cfDNA samples through combination of tumor-specific methylation atlas and genome-wide methylation density in graph ...

Validation of a chemotherapy toxicity prediction model in older adults with cancer in Taiwan. This is an ASCO Meeting Abstract from the ASCO Breakthrough: A Global Summit for Oncology Innovators. This ...