A fuzzy entity relationship diagram (ERD) data model for managing information about sets of related data files was converted to an object design. To do this, we developed new methods incorporating ...

This paper proposes a correlated matrix-based object-oriented modeling method for cyber-attack modeling and analysis, which extends the object-oriented modeling method for network attack and ...

The modernized, outcomes-focused AMAM is meant to help health systems keep pace with the rapid evolution of analytics technologies and artificial intelligence and "support equitable, data-driven ...

A deep dive into blockchain data models: UTxO, account-based, and Sui's object-oriented approach, highlighting their impact on scalability, security, and user experience.

A successful operating model for investment managers must be built on a unified platform that seamlessly integrates data management, analytics, decision support, execution and post-trade.

In an annual survey assessing attitudes about data, analytics, and AI, data and technology leaders in large companies reported significant improvement in their organizations’ data culture.

Sophisticated analytics tools mine insights from data, optimizing operational processes across the enterprise.

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

4. Analyzing Vehicle Characteristics through Modeling By utilizing the railcar object containing the computational model for the vehicle’s motion and power, we conducted simulations to compare the ...