Machine learning (ML) is reshaping pipeline integrity management (PIM) from physics-based to data-driven paradigms. This ...

In this study, as part of basic research aimed at enhancing the accuracy of load and resistance coefficients to ensure their suitability for practical design and promoting the application of ...

To overcome the drawbacks of the traditional chaos control method (CC), such as non-convergence, inefficiency and repeated adjustment of control factor, a new method named adaptively active set-based ...

As the semiconductor industry continues its relentless march towards smaller process nodes and more complex integrated circuits (ICs), the challenge of ensuring reliability has become increasingly ...

How can systems be designed to guard against unexpected downtime? How does system reliability impact product development? In what ways can artificial intelligence and machine learning improve system ...

When it comes to process-control systems, reliability is crucial and failure can be costly or dangerous. A combination of good design practices, component selection, and testing can enhance ...