Historically, data center design was linear: Size the facility to meet demand forecasts and hope for the best. Power and ...

In the ever-expanding landscape of enterprise data management, the Multi-Dimensional Data Model (MDM) emerges as a transformative tool, offering a comprehensive approach to sorting, analyzing, and ...

We propose a semiparametric method for conducting scale-invariant sparse principal component analysis (PCA) on high-dimensional non-Gaussian data. Compared with sparse PCA, our method has a weaker ...

Fully convolutional networks were developed for predicting optimal dose distributions for patients with left-sided breast cancer and compared the prediction accuracy between two-dimensional and ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...