Modeling complex systems When studying complex biological systems such as the immune system, scientists can extract many different types of data. Sequencing cell genomes tells them which gene variants ...

Health condition assessment is the basis for formulating and optimizing maintenance strategies of complex systems, which is crucial for ensuring the safe and stable operation of these systems. In ...

Calvin Hennick is a freelance journalist who specializes in business and technology writing. He is a contributor to the CDW family of technology magazines. NASA has more programs today than at any ...

A team led by Academician GUO Guangcan from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS), with collaborative efforts from the University of ...

Model-based fault diagnosis harnesses mathematical representations of complex technical systems to detect, isolate and identify component failures. By comparing real-time measurements against expected ...

This research introduces a novel approach to uncovering structural variables in complex systems, reshaping how we model the unpredictable behaviour of the real world Connected puzzle pieces (Courtesy: ...

Microsoft’s data lakes meet the industrial internet of things, helping you create complex models with data from multiple sources. Digital twins are an important part of modern control systems. They ...

Why engineers are turning to system-level models. How high-fidelity digital twins help expose system-level issues. Where MBSE is experiencing the fastest adoption. The roles of AI and data science in ...