Data classification labels are critical to the effective management and protection of information based on its sensitivity and the potential impact of disclosure. These labels enable the University to ...

Microsoft is redefining its internal approach to data governance with Microsoft Purview. Data fuels everything that we do here at Microsoft, from the daily operations that keep the business running to ...

Elevate data protection across the business. Join Cloud Essentials for a powerful, insight-packed webinar designed to help IT, security and compliance leaders understand how Microsoft Purview can ...

Cyera, an industry-leading AI and data security company, today announced an expanded collaboration with Microsoft to secure agentic AI. This both deepens and broadens data intelligence for customers ...

Abstract: Researchers confront significant challenges when classifying and modeling data due to the growing system complexity, data volume, and requirement for accurate and reliable models.

In today’s digital-first world, data is both an asset and a liability. As organizations scale their use of cloud platforms, AI, and remote collaboration tools, the complexity of managing data security ...

This paper presents ConvAttentionNet, a lightweight and high performing deep learning model developed for accurate and efficient classification of Polarimetric Synthetic Aperture Radar (PolSAR) ...

Abstract: Class imbalance can substantially affect classification tasks using traditional classifiers, especially when identifying instances of minority categories. In addition to class imbalance, ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...