Cloud networking company Cato Networks Ltd. today announced the launch of Cato Dynamic Prevention, an auto-adaptive threat prevention engine that allows enterprises to proactively block advanced ...

Adapting to the addressee is crucial for successful explanations, yet poses significant challenges for dialog systems. We adopted the approach of treating explanation generation as a non-stationary ...

Mitochondria form dynamic networks of interconnected tubules, with network structure varying across nutrient condition, disease state, and cell type. Numerous cellular functions rely on the sharing of ...

Synthetic dataset outputs for public analysis without privacy risk. Part of my current workflow as survey leader of the Data Engineering Pilipinas group. Comparable distributions per column: based on ...

Abstract: This study proposes a Dynamic Bayesian Network (DBN)-based model for evaluating the reliability of optical networks, effectively quantifying the state changes and reliability of optical ...

Abstract: Dynamic Bayesian Networks (DBNs) are useful tools for modelling complex systems whose network representations can be elicited a priori or learnt from data. In this paper, a maximum ...

Methods: Five repeated surveys (2000-2022) of the Helsinki Health Study (N=8960; n=7168, 80% women, aged 40-60 years in phase 1) were used to build dynamic Bayesian networks for estimating the odds of ...