EXAMINING THE DYNAMIC CONDITIONAL CORRELATION BETWEEN OIL PRICES AND STOCK PRICES: IMPLICATIONS FOR GLOBAL FINANCIAL MARKETS AND THE IMPACT OF COVID-19

The dynamic structure of the global economy is one of many factors that affect the fluctuations in the global financial markets.COVID-19, like all other epidemics, has been an important period in human history.Exporting and importing oil are also important distinctions in economies.This study aims to investigate the dynamic relationship between sto

Gastric cancer has a high mortality rate worldwide, but it can be prevented with early detection through regular gastroscopy.Herein, we propose a deep learning-based computer-aided diagnosis (CADx) system applying data augmentation to help doctors classify gastroscopy images as normal or abnormal.To improve the performance of deep learning, a large

Abstract Background Dengue virus infection results in a broad spectrum of clinical outcomes, ranging from asymptomatic infection through to severe dengue.Although prior infection with another viral serotype, i.e.secondary dengue, is known to be an important factor influencing disease severity, current methods to determine primary versus secondary i

The design and development Pendant of a digital library involves different stakeholders, such as: information architects, librarians, and domain experts, who need to agree on a common language to describe, discuss, and negotiate the services the library has to offer.To this end, high-level, language-neutral models have to be devised.Metamodeling te

Pansharpening aims to produce a high resolution multispectral image by fusing a panchromatic image with a low-resolution multispectral image.Current pansharpening methods often overlook the significant modality differences between source images and lack interaction between them, resulting in spatial-spectral distortions.To address these issues, we