Optimization of a thermal energy storage system enhanced with fins using generative adversarial networks method
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 …
energy storage system. The present research aims to determine the optimal fin spacing and …
Assessment of the role of mangroves for Periophthalmus modestus applying machine learning and remote sensing: a case study in a large estuary from Vietnam
ANT Do, TAT Do, L Van Pham, HD Tran - Aquatic Ecology, 2024 - Springer
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 …
their dispersions in a dynamic system like estuaries are important in protection and …
Data-Driven Generative Model Aimed to Create Synthetic Data for the Long-Term Forecast of Gas Turbine Operation
E Losi, L Manservigi, PR Spina… - … Expo: Power for …, 2024 - asmedigitalcollection.asme.org
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 …
energy sector. However, in the case of limited historical data, eg, a new installation, training …
Jacobian-scaled K-means clustering for physics-informed segmentation of reacting flows
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 …
informed clustering strategy centered on the K-means framework. The method allows for the …
A novel residual-pyramid-attention super resolution model for mesoscale meteorological forecasting spatial downscaling
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 …
as a significant endeavor in meteorological forecasting. In this study, we propose a novel …
Video surveillance in smart cities: current status, challenges & future directions
H Sharma, N Kanwal - Multimedia Tools and Applications, 2024 - Springer
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 …
education, and healthcare facilities. The increased proportion of people living in urban areas …
Recognition of Converter Steelmaking State Based on Convolutional Recurrent Neural Networks
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 …
flame characteristics at the furnace mouth indirectly reflect the smelting conditions inside the …
Prediction of heavy-oil combustion emissions with a semi-supervised learning model considering variable operation conditions
Z Han, X Tang, Y Xie, R Liang, Y Bao - Energy, 2024 - Elsevier
Accurate and reliable prediction of combustion emissions is essential for combustion
optimization adjustment. Existing data-driven approaches are limited by insufficient labeled …
optimization adjustment. Existing data-driven approaches are limited by insufficient labeled …
Thermal Image Calibration and Correction using Unpaired Cycle-Consistent Adversarial Networks
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 …
monitoring. However, their widespread deployment during wildfires has been hindered by a …
Learning-Based Super-Resolution Imaging of Turbulent Flames in Both Time and 3D Space Using Double GAN Architectures.
C Zheng, W Huang, W Xu - Fire (2571-6255), 2024 - search.ebscohost.com
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 …
common flame types, a swirling and then a jet flame, using double generative adversarial …