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

UB classifies data into three risk-based categories to regulate access to, use of, and necessary precautions required to the protect university data. This policy provides a classification framework ...

Abstract: The exponential growth of remote sensing image data and the high cost of manual annotation have led to insufficient labeled data, limiting classification performance. Semisupervised methods ...

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 ...

Karnataka has started a comprehensive survey for sub-classification within scheduled castes, led by retired Justice H N ...

In this modern era of rapid technological advancements and digital transformation, Amit Kumar explores the next generation of distributed system security in his latest work. His insights highlight the ...

Learn how to classify sleep stages using EEG data with Python, MNE, and Scikit-learn in this step-by-step guide.

Revisions to classification criteria ‘will ensure homogeneous trial populations’ with data-driven scoring, a standardized MRI ...

Across various classes, the researchers identified a model that, when coupled with appropriate data augmentation and ...