Variable frequency drives offer the best system efficiency in heating and cooling systems, especially if they have an ...

What is a Generative Adversarial Network (GAN)? Generative Adversarial Networks, or GANs, are a type of deep learning model made up of two neural networks that are essentially in a creative face ...

Consequently, there is an urgent need to incorporate supplementary data sources that offer high spatiotemporal resolution and the capability for all-weather, all-day monitoring. In this study, we ...

This serves as the main reference for global ionosphere morphology study. In this work, a new GAN model, WTM-GAN (Wavelet Transform and Merging Generative Adversarial Network) is proposed, designed ...

Learn about mixed economies blending capitalism and socialism. Explore their features, benefits, and challenges in this comprehensive guide.

This repository contains code for super-resolution of wind fields using GAN-based models. The project includes data preparation, model training, inference, and performance evaluation using multiple ...

Figure 12. Model diagram of organic matter enrichment in shale in the Hongxing area of the Eastern Sichuan Basin. These findings have significant implications for shale gas exploration strategies in ...

Figure 2. Mediation model diagram with moderation. **p < 0.01, ***p < 0.001. The Z-scores of perceived social support were set at ± 1 to generate an interaction plot and a conditional indirect effects ...