A flow field reconstruction algorithm based on deep learning is an effective method to detect
the evolution of wave structure in a scramjet combustor, which is of great significance for …

Combustion instabilities are prevalent in a variety of systems including gas turbine engines.
In this regard, the introduction of active control opens the potential for new paradigms in …

Transitions from stable to unstable states occurring in dynamical systems can be sudden
leading to catastrophic failure and huge revenue loss. For detecting these transitions during …

The performance of an organic photovoltaic device is intricately connected to its active layer
morphology. This connection between the active layer and device performance is very …

Different cyber-physical systems involving sequential data require accurate frameworks for
predicting the state of the system leading to effective monitoring. If the framework is …

In cyber-physical systems, along with the accuracy of decision-making, interpretability
remains one of the important aspects to build user trust and generate domain insights …

Pattern recognition has its origins in engineering while machine learning developed from
computer science. Today, artificial intelligence (AI) is a booming field with many practical …