Although artificial neural networks are powerful classifiers, their internal structures are hard to interpret. In the life sciences, extensive knowledge of cell biology provides an opportunity to ...

“In yet another example of the present disclosure, a method includes receiving, via a software development environment, user input associated with a data design to be created via the software ...

In this paper, we describe the hierarchical data model (HDM), which is a performance efficient alternative to the traditional flat CDC verification flow. The HDM is equivalent to an abstract CDC model ...

Traditionally, clock domain crossing (CDC) verification at the SoC level has relied on flat simulation runs. But flat CDC verification has run out of gas. Largely because of the increase in the number ...

Structural equation models are highly suited for evaluating ecosystem-level hypotheses, but to be effective, structural equation models need to be able to accommodate spatial and temporal data. Here, ...

This is a preview. Log in through your library . Abstract We propose a novel Bayesian hierarchical model for brain imaging data that unifies voxel-level (the most localized unit of measure) and region ...

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

This 28-page special report discusses the IEC 61850 standard for electrical substation communications, which incorporates an object-oriented hierarchical data model approach with high-level ...

Posts from this topic will be added to your daily email digest and your homepage feed. Its latest model, GPT-4o Mini, applies a new safety method to prevent tricking chatbots. Its latest model, GPT-4o ...