This paper discusses the radiation response of a power supply system by combining the power converters radiation effects and the dynamic Bayesian network (DBN) model. The total ionizing dose (TID) ...

The new network troubleshooting capabilities revolve around container security technology that Cisco gained in its acquisition of Isovalent and integrated into its infrastructure offerings.

A PyTorch-based Bayesian Network framework designed to handle continuous data, enabling continuous inference with continuous CPDs. It leverages GPU acceleration and batch operations, and is intended ...

To address this challenge and enhance the efficiency of MDA based on TVAR model, we propose a Sparse Bayesian Network (SBN) that unfolds a fast Mean Field SBL (MF) using a deep variational ...

After random selection, data from 1522 mother–child pairs were used in this study. Exposures and outcome measures Additive Bayesian network analysis was used to investigate the interdependency of ...

The workshop, "Efficient Approximate Bayesian Inference," drew participants from across the world. The main goals of the workshop were to enhance variational methods for analyzing complex data sets, ...

Data extraction and synthesis Paired reviewers independently extracted data. We used Bayesian random-effects network meta-analyses to summarise the evidence and the Grading of Recommendations, ...

AI networking refers to the application of artificial intelligence (AI) technologies to network management and optimization. It involves using AI algorithms and machine learning techniques to ...

In a surprise development, YES Network and Comcast on Monday night reached a new carriage agreement, coming to terms on a deal just hours before the regional sports network was set to go dark in ...

The NASCAR Cup Series returns to my favorite track, Martinsville Speedway, for Sunday’s Cook Out 400 (3 p.m. ET, FS1). Martinsville is a tight, half-mile circuit that inspires plenty of beating ...