The de-blurring of blurred images is one of the most important image processing methods and it can be used for the preprocessing step in many multimedia and computer vision applications.Recently, de-blurring methods have been performed operation igloo white by neural network methods, such as the generative adversarial network (GAN), which is a powe
Administrating the Development of Tourism and Hospitality Industries During the COVID-19 Pandemic
Starting from 2020 to the present day, because of the COVID-19 pandemic in the sphere of tourism and hotel industry, as well as in related areas, there has been a decline or even complete cessation of activity, as a result of which a significant number of enterprises have become bankrupt or in crisis.So there is a need to find such a way of develop
Diurnal seismicity cycle linked to subsurface melting on an ice shelf
Seismograms acquired on the McMurdo Ice Shelf, Antarctica, during an Austral summer melt season (November 2016–January 2017) reveal a diurnal cycle of seismicity, consisting of hundreds of thousands of small ice quakes limited to a 6–12 hour period during the evening, in an area where there is substantial subsurface melting.This cycle is explai
Towards a category theory approach to analogy: Analyzing re-representation and acquisition of numerical knowledge.
Category Theory, a branch of mathematics, has shown promise as a modeling framework for higher-level cognition.We introduce an algebraic model for analogy that uses the language of category theory to explore analogy-related cognitive phenomena.To illustrate the potential of this approach, we use this model to explore welding sweater three objects o