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 ...

Train professional engineers in advanced methods of engineering analysis and modeling for exploration, simulation and optimization of mechanical engineering systems. Develop theoretical understanding ...

Artificial Analysis overhauls its AI Intelligence Index, replacing saturated benchmarks with real-world tests measuring ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

This course introduces the basic concepts of functional verification and model checking, highlighting their importance in modern system designs. It explains different modeling formalisms for ...

How in-house-developed and third-party general-purpose simulation tools are limited to a few expert users and aren’t easily shareable. How multiphysics simulation of subsystems can result in an ...

[This article was first published in Army Sustainment Professional Bulletin, which was then called Army Logistician, volume 2, number 2 (March–April 1970), pages 4–8.] IN AN AGE when weapon system ...

Technologies are triggering an unprecedented wave of innovations in transportation. Automation, electrification, and sharing economy are expected to completely reshape the landscape of the industry.

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 ...