Shift verification effort from a single, time-consuming flat run to a more efficient, distributed, and scalable process.
BhGLM is a freely available R package that implements Bayesian hierarchical modeling for high-dimensional clinical and genomic data. It consists of functions for setting up various Bayesian ...
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 ...
Currently hierarchical data models (HDM) must be generated with the same EDA tool that customers will use to consume the HDM for CDC and RDC analysis at the SoC level. To resolve this problem a CDC ...
To evaluate the utility of automated deformable image registration (DIR) algorithms, it is necessary to evaluate both the registration accuracy of the DIR algorithm itself, as well as the registration ...
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 ...
The ISA95 (IEC 62264) standards have an important place in the Industry 4.0 smart factories of the future. The key is an extended ISA95 activity model. From their inception 20 years ago, the ISA95 ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback