The evolution of cyber-physical systems (CPS) is inevitable. Traditional graph and hypergraph modeling and analysis methods can only describe one-dimensional evolutionary information, making it ...

Neural networks are very effective machine learning tools that prove extremely valuable in unwinding the best representation of the data at hand. To improve the ability of neural networks to ...

In the face of the dual challenges of climate change and energy security, conducting in-depth research on energy and carbon emission (E&C) systems has become crucial for nations to address ...

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 ...