Shift verification effort from a single, time-consuming flat run to a more efficient, distributed, and scalable process.

Research combining deep learning methodologies with Analytic Hierarchy Process establishes comprehensive frameworks for data security risk assessment, achieving systematic evaluation and preventive ...

The Annals of Applied Statistics, Vol. 15, No. 1 (March 2021), pp. 391-411 (21 pages) Gene expression deconvolution is a powerful tool for exploring the microenvironment of complex tissues comprised ...

Learn how industrial data flows have fundamentally changed with edge computing and cloud connectivity, where sensor data can now bypass traditional hierarchical structures to go directly from Level 0 ...

This is a preview. Log in through your library . Abstract In this article, we present a Bayesian hierarchical model for predicting a latent health state from longitudinal clinical measurements. Model ...