Enterprise data management (EDM) is the framework organizations use to manage data across systems, teams and workflows. It ...

Data is usually divided into two types: discrete and continuous, both of which play important roles in subjects such as statistics, mathematics, computer science, and data analysis. Understanding the ...

The rapid advancement of AI has led to the development of powerful models for discrete and continuous data modalities ... and CLIP scores. For example, in a controlled comparison, Transfusion achieves ...

But when it comes to discrete vs. continuous data, what exactly are the key differences? Read on for explanations and examples of how both data types help people interpret numerical data ...

Both discrete and continuous data are valuable for all sorts of data-driven decisions. Valuable research and insights are made by combining both sets of data. Here are some examples where discrete ...

Abstract: In this article, we investigate the problem of sampled-data robust output feedback control for a class of nonlinear uncertain systems with time-varying disturbance and measurement delay ...

Here we describe new and updated best practice data standards for discrete chemical oceanographic observations ... using ISO-8601 format (YYYYMMDD) (Table 1). For example, a research expedition ...