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 ...

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

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 ...

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 ...

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 ...