Abstract: Through the radio map presented by the signal strength at observed points, the signal distributions such as signal attenuation of an area can be obtained. However, it is practically ...

This week - Oracle earnings punch back on the SaaS-is-dead narrative, but Adobe's CEO departure shows that market upheaval ...

Cloudflare released vinext, an experimental Next.js reimplementation built on Vite by one engineer, with AI guidance over one ...

Objectives High-dose rifamycin (HDR) regimens have demonstrated significant potential in tuberculosis (TB) treatment. This study aims to evaluate the efficacy and safety profile of different HDR ...

The network structure invariance test between males and females were significant (p = 0.001). Furthermore, Bayesian network analysis showed gender-specific symptom progression, where anxiety preceded ...

Abstract: Bayesian Networks are a well-established approach to solving classification problems in practical applications. Preparing to use a Bayesian Network Classifier requires parameterization of ...

A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...

Anomaly response in aerospace systems increasingly relies on multi-model analysis in digital twins to replicate the system’s behaviors and inform decisions. However, computer model calibration methods ...