Optimizing fin configurations is an effective method to improve the performance of a thermal
energy storage system. The present research aims to determine the optimal fin spacing and …

Early stages of fish are easily sensitive to any alteration of environments, thus understanding
their dispersions in a dynamic system like estuaries are important in protection and …

The prediction of gas turbine (GT) future health state plays a strategic role in the current
energy sector. However, in the case of limited historical data, eg, a new installation, training …

This work introduces Jacobian-scaled K-means (JSK-means) clustering, which is a physics-
informed clustering strategy centered on the K-means framework. The method allows for the …

Developing a spatial downscaling method using machine learning techniques has emerged
as a significant endeavor in meteorological forecasting. In this study, we propose a novel …

People across the world aspire to settle in urban areas for better opportunities in career,
education, and healthcare facilities. The increased proportion of people living in urban areas …

The converter steelmaking process is an important part of metallurgical production, and the
flame characteristics at the furnace mouth indirectly reflect the smelting conditions inside the …

Accurate and reliable prediction of combustion emissions is essential for combustion
optimization adjustment. Existing data-driven approaches are limited by insufficient labeled …

Unmanned aerial vehicles (UAVs) offer a flexible and cost-effective solution for wildfire
monitoring. However, their widespread deployment during wildfires has been hindered by a …

This article presents a spatiotemporal super-resolution (SR) reconstruction model for two
common flame types, a swirling and then a jet flame, using double generative adversarial …