Nature

Bayesian Graphical Model Inference and Applications

Bayesian graphical models provide a principled framework for representing complex dependency structures among multivariate variables by combining graph theory with probabilistic inference. In these ...
InfoWorld

Ease into Azure Kubernetes Application Network

Microsoft has simplified service mesh scaling and management with an ambient-based service network for AKS. Here’s how to get started. If you’re using Kubernetes, especially a managed version like ...
IEEE

Application of Artificial Intelligence and Deep Learning in Operating System Fingerprinting Prevention Using Neural Networks

Abstract: —Information gathered from an operating system (OS) is a powerful weapon for cybercriminals. Existing solutions rely on a monitoring system across transport and application layers. This ...
IEEE

High-Confidence Classification of Partial Discharge Acoustic Signals Using Bayesian Networks for Uncertainty Quantification

Abstract: Acoustic emission (AE) detection is a nonintrusive technique for monitoring transformer conditions by capturing emissions from partial discharges (PDs), hotspots, and noise. Machine learning ...