It is the primary goal of this research to investigate how neural networks may be used to describe soil behavior under situations of uniaxial strains. Geotechnical engineering issues have been effectively modelled using artificial neural networks (ANNs) during the last several years,...

We develop a backward-in-time machine learning algorithm that uses a sequence of neural networks to solve optimal switching problems in energy production, where electricity and fossil fuel prices are subject to stochastic jumps. We then apply this algorithm to a variety of energy scheduling...

Dextrin, which is one type of modified starch, was produced in a novel way that involved the use of an IR heater in place of the traditionally used hot oil. The predominant challenge of the modified starch production was to know the ideal finishing time for the process in order to obtain the...

The consumption of digital content products (e.g., video games and live streaming) is often associated with multi-faceted, dynamically interacting consumer behavior that is subject to influence from pertinent external events. Inspired by these characteristics, we develop a novel attention-based...