R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in the 1990s, ...

Theory and understanding underpin a great deal of experimentation and engineering. Working together experimentalists can be guided by theoretical predictions and theoreticians can refine their models ...

A look at why modeling and simulation capabilities are becoming an indispensable element of the Internet of Things toolbox. Dr. Margaret L. Loper and Alain Louchez Dr. Margaret L. Loper (l) and Alain ...

In this special guest feature from Scientific Computing World, Gemma Church writes that the aerospace industry is stuck in the past – but it isn’t due to a lack of new simulation and modeling ...

Combining modeling and simulation with real-time operating data is the basis of the latest DOE Solar Energy and Technologies Office project. Our industry has long used modeling and simulation to ...

Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...

R. S. MacLeod, J. G. Stinstra, S. Lew, R. T. Whitaker, D. J. Swenson, M. J. Cole, J. Krüger, D. H. Brooks and C. R. Johnson Philosophical Transactions: Mathematical ...

Artificial intelligence (AI) is rapidly transforming our understanding of human cognition by integrating insights from perception studies. Perception is the ...

Achieving a better understanding of the crime event in its spatio-temporal context is an important research area in criminology with major implications for improving policy and developing effective ...