Generative Adversarial Networks (GANs) have been widely applied in different scenarios thanks to the development of deep neural networks. The original GAN was proposed based on non-parametric assumption infinite capacity However, it is still unknown whether GANs can fit target distribution without any prior information. Due overconfident assumption, many issues remain unaddressed GANs' training...

Abstract A significant global worry is a substantial rise in cardiac arrhythmia cases brought on by improper food and lifestyle choices. Manual analysis of the report electrocardiogram to detect presence an anomaly time-consuming task. Hence, it necessary create automated diagnosis system that can deliver results quickly accurately. Numerous machine learning-based models were created researcher...

Data centers are experiencing unprecedented growth as the fourth industrial revolution’s supporting pillars and engine for future digitalized world. However, data carbon-intensive enterprises due to their massive energy consumption, it is estimated that center industry will account 8% of global carbon emissions by 2030. Meanwhile, both technological policy instruments reducing or even neutraliz...

The observed two-point correlation functions of galaxies in redshift space become anisotropic due to the geometry of the universe as well as due to the presence of the peculiar velocity field. Expanding the induced anisotropies of the correlation functions with respect to the redshift z, we obtain explicit expressions for the deceleration parameter q0, the density parameter Ω0 and the derivativ...