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 …

Artificial intelligence (AI) is one of the emerging technologies. In recent decades, artificial
intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual …

The utilization of surrogate models to approximate complex systems has recently gained
increased popularity. Because of their capability to deal with black-box problems and lower …

On top of machine learning (ML) models, uncertainty quantification (UQ) functions as an
essential layer of safety assurance that could lead to more principled decision making by …

Construction projects are often deemed as complex and high-risk endeavours, mostly
because of their vulnerability to external conditions as well as project-related uncertainties …

Abstract Internet of Things (IoT) has recently brought an influential research and analysis
platform in a broad diversity of academic and industrial disciplines, particularly in healthcare …

Today, the continuous growth of electronic commerce volume increases the importance of
point-to-point shipment transportation. For this reason, it is extremely important that shipment …

In this paper, we provide a systematic approach for assessing and comparing the
computational complexity of neural network layers in digital signal processing. We provide …

Heavy computational load inhibits the application of groundwater contaminant numerical
model to groundwater pollution source identification, remediation design, and uncertainty …

This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …