This policy provides a classification framework based on relevant legal and regulatory requirements to which the university is subject and provides a framework for classifying university data based in ...

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification ...

The Air Force has digitized more than 500 security classification guides and is using them to identify inconsistencies between the guides that are blocking the service’s ability to share data across ...

For sixth consecutive time, number of individuals facing an acute lack of food and water grows — 295.3 million, according to ...

Data classification is a critical capability that can ensure the most efficient use of resources by appropriately applying controls to the correct data and systems based on organizational risk. One of ...

810 provided data at 6 months for 4 outcomes ... factors were used in this analysis. Results Four classification trees (prognostic pathways or decision trees) were created, one for each outcome. The ...

Abstract: This paper defines a positive and unlabeled classification problem for standard GANs, which then leads to a novel technique to stabilize the training of the discriminator in GANs and deal ...

Studies leveraging NIR and CNNs report accuracies exceeding 95%, with some achieving perfect classification for pure fibers.