Abstract: Since the rise of deep learning in the past few years, convolutional neural networks (CNNs) have quickly found their place within the remote sensing (RS) community. As a result, they have ...

Introduction Many neonatal deaths are avoidable using existing low-cost evidence-based interventions. This study evaluated ...

Introduction We aimed to determine the association between paternal labour migration and the growth of the left-behind ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Discover how businesses and government agencies can use capital investment analysis to assess the potential of long-term ...

The authors analyze more than 5000 operational risk incidents from a major New Zealand bank to document risk patterns within ...

Government securities markets play an important role in public debt management, monetary policy transmission, and financial ...

Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...

Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...

Prevalence of Electrolyte Disorders in Oncology: Descriptive Cross-Sectional Study in the Cancer Department of the National ...

The dual-track analysis confirms that the Jordanian Paradox is influenced by deeply rooted, intersecting institutional ...

Tim Smith has 20+ years of experience in the financial services industry, both as a writer and as a trader. Amanda Jackson has expertise in personal finance, investing, and social services. She is a ...