Since the onset of the COVID-19 pandemic, there has been a growing interest in studying
epidemiological models. Traditional mechanistic models mathematically describe the …

The COVID-19 pandemic has created unprecedented challenges worldwide. Artificial
intelligence (AI) technologies hold tremendous potential for tackling key aspects of …

With recent advances in sensing technologies, a myriad of spatio-temporal data has been
generated and recorded in smart cities. Forecasting the evolution patterns of spatio-temporal …

Background: In health, it is important to promote the effectiveness, efficiency and adequacy
of the services provided; these concepts become even more important in the era of the …

Coronavirus disease 2019 (COVID-19) has become a pandemic. We examined the KAP's
relationship with factors associated with practice toward the COVID-19 pandemic in …

Graph classification aims to predict the class labels of graphs and has a wide range of
applications in many real-world domains. However, most of existing graph neural networks …

Over the past few decades, data-driven machine learning (ML) has distinguished itself from
hypothesis-driven studies and has recently received much attention in environmental …

Graphs are ubiquitous in nature and can therefore serve as models for many practical but
also theoretical problems. For this purpose, they can be defined as many different types …

This article examines the potential impact of the Covid-19 Lockdown on earnings
manipulation and stock market sensitivity to earnings announcements. It also explores the …

This study examines the impact of the COVID-19 outbreak on the Taiwan stock market and
investigates whether companies with a commitment to corporate social responsibility (CSR) …