The aim of this research is to find out how to analyze the chemical content of the drug
phenylbutazone in herbal medicine using thin layer chromatography and UV-Vis's …

Current microparticle (MP) development still strongly relies on the laborious trial-and-error
approach. Herein, we developed a systemic method to evaluate the significance of MP …

Introduction: The introduction of digitization of healthcare data has posed both challenges
and opportunities within the industry. Big Data Analytics (BDA) has emerged as a powerful …

The insurance protection program cannot be separated from everyday human life because
there will always be risks in every human activity. Most people have entered into insurance …

Abstract The Garbage Bank is an organization initiated for all students to support the
management of inorganic waste into something of value so as to create additional income …

In this study, we will analyze how big data is implemented in TESLA Company, in this case,
we will use sales data. With the growth of big data and the need for its use in companies …

The integration of artificial intelligence (AI) into pathology research has demonstrated
considerable potential in enhancing diagnostic accuracy, operational efficiency, and patient …

This dissertation introduces an innovative structure aimed at improving anomaly detection
and predictive analyses in Wireless Body Area Networks (WBANs), a crucial technology …

Abstract 3D bioprinting, a versatile biofabrication technique, has been widely used in
various biomedical research fields. Statistical modeling and machine learning are powerful …