Examples of these cyber-physical systems are everywhere, as a part of the Internet-of-Things, with the computing elements being embedded in everyday objects, from coffee machines to cars. Some of the ...

Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...

Cyber-physical systems consist of computers that sense and control a rapidly changing physical environment. Examples of such systems include autonomous transportation (self-driving cars), traffic ...

System modeling is on the rise. Open-source tools now simulate mechanical, thermal, electrical, electronic, hydraulic, and control domains in one place. Many designs involve multiple engineering ...