The core of this patent lies in utilizing large models to handle multimodal data conflicts in chemical HSE scenarios. Its technical route can be summarized in several key steps: First, collect ...

GAC Honda Applies for Patent on Vehicle Fault Diagnosis Based on Bayesian Networks, Enhancing Diagnostic Intuitiveness and Interpretability. GAC Honda's Innovative Technology Lead ...

Clinical outcomes of black versus non-Hispanic white women with stage IV breast cancer treated with sacituzumab at Emory. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This ...

"This is one of the most disturbing things we're seeing," an FBI official said. FBI officials say they are growing increasingly concerned about a loose network of violent predators who befriend ...

This project implements Bayesian Neural Networks for uncertainty quantification in high-stakes applications like medical diagnosis or autonomous systems. The goal is to develop deep learning models ...

The use of network meta-analysis (NMA) in sport and exercise medicine (SEM) research continues to rise as it enables the comparison of multiple interventions that may not have been assessed in a ...

Abstract: Even with a powerful network of signaling and warning systems in the country, there have been many examples of trains crossing the red signal due to various factors, even today. These ...

Background: Obesity is a known contributor to the development of cardiovascular disease (CVD) and increases the risk of subsequent mortality. To fully understand the burden of obesity, accurate ...

Background: Ethno-racial disparities in cardiometabolic diseases are driven by socioeconomic, behavioral, and environmental factors. Bayesian networks offer an approach to analyze the complex ...

In-context learning (ICL) enables LLMs to adapt to new tasks by including a few examples directly in the input without updating their parameters. However, selecting appropriate in-context examples ...