Data classification can be viewed as the act of putting data in buckets, based on the criteria of confidentiality, criticality, sensitivity/access control and retention. The basis for framing a data ...

The classification of pests using computer vision and Convolutional Neural Networks (CNNs) involves leveraging deep learning toidentify and categorize pest species from images. By training a CNN model ...

Classifying pests in agricultural settings using computer vision and Convolutional Neural Networks (CNNs) is a powerful approach to automated pest detection. CNNs are highly effective for image ...

Data classification is an essential pre-requisite to data protection, security and compliance. Firms need to know where their data is and the types of data they hold. Organisations also need to ...

Classification has met its digital match. Before it came along, we were served by a revolving series of moral panics, changing censorship ministers and a patchwork of different state systems. Many ...