Progress in combustion science and engineering has led to the generation of large amounts
of data from large-scale simulations, high-resolution experiments, and sensors. This corpus …

During the past decades, significant efforts have been dedicated to develop reliable
methods in structural health monitoring. The health assessment for the target structure of …

Combustion science is an interdisciplinary study that involves nonlinear physical and
chemical phenomena in time and length scales, including complex chemical reactions and …

In order to identify and control the menace of destructive pests via microscopic image-based
identification state-of-the art deep learning architecture is demonstrated on the parasitic …

Bioprosthetic heart valves (BHVs) are commonly used as heart valve replacements but they
are prone to fatigue failure; estimating their remaining life directly from medical images is …

In recent years, the demand for reliable and accurate nondestructive evaluation (NDE) of
structural systems has been growing and several nondestructive testing (NDT) techniques …

A new technique for shaping microfluid flow, known as flow sculpting, offers an
unprecedented level of passive fluid flow control, with potential breakthrough applications in …

Nowadays, despite a negative impact on the natural environment, coal combustion is still a
significant energy source. One way to minimize the adverse side effects is sophisticated …

A data-driven approach to classify combustion regimes in detonation waves is implemented,
and a procedure for domain-localized source term modeling based on these classifications …

This work investigates the usage of deep neural networks for predicting the thermal output of
a 3 MW, grate-fired biomass boiler, based on routinely measured operating parameters and …