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

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

Background: Variable adherence to assigned conditions is common in randomized clinical trials. Objectives: A generalized modeling framework under longitudinal data structures is proposed for ...

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 ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...