Ag 2 O–Ag-porous silicon Bragg mirror (PSB) composite SERS substrates were successfully
synthesized by using a combination of electrochemical and thermochemical methods. Test …

The discipline of Automatic Text Summarization (ATS), which is expanding quickly, intends
to automatically create summaries of enormous amounts of text so that readers can save …

In recent years, machine learning is attaining higher precision and accuracy in clinical heart
disease dataset classification. However, literature shows that the quality of heart disease …

Liver disease is a significant global burden on health, with about a few hundred million
people suffering from chronic liver disease (CLD), with approximately 2 million deaths each …

In the medical profession, recent technological advancements play an essential role in the
early detection and categorization of many diseases that cause mortality. The technique …

Big data mining is an excellent source of information and knowledge from systems to end
users. However, managing such amounts of data or knowledge requires automation, which …

Hepatitis C virus (HCV) is a major global health concern, affecting millions of individuals
worldwide. While existing literature predominantly focuses on disease classification using …

Background Hepatitis C is a prevalent disease that poses a high risk to the human liver.
Early diagnosis of hepatitis C is crucial for treatment and prognosis. Therefore, developing …

Background Interstitial lung disease (ILD) is a major complication of Primary Sjögren's
syndrome (pSS) patients. It is one of the main factors leading to death. The aim of this study …

Due to the rising complexity of software projects, it is quite difficult to predict the risk in
software requirements which is the most profound and essential activity in SDLC. It may lead …