Background: Medical informatics has observed an unrestrained growth in the database.
Latest advancements in the field of medical sciences have wiped out lots of critical diseases …

In this study, we developed a novel approach to simulate dynamic flow interactions between
storm sewers and overland surface for different land covers in urban areas. The proposed …

Diabetes mellitus (DM) is a group of metallic disorder characterized by steep levels of blood
glucose prolonged over a time. It results the defection in insulin production or improper …

A huge majority of people all over the globe are coping with the devastating effects of
diabetes, and many of them are not being identified early enough. Diabetes has become …

This paper aims to provide a case study to classify diabetes medical condition amongst
patients. The study examines the performance of the Levenberg-Marquardt (LM) algorithm …

The support vector machine (SVM) has been used as an efficient tool in data mining tasks
during the last 2 decades. It is also used for supervised classification with reasonable …

An operational two-dimensional real-time flood forecasting system has been developed to
prevent urban inundation in Taiwan, and it uses the Delft-FEWS (Flood Early Warning …

The reduced support vector machine (RSVM) is extension method of smooth support vector
machine (SSVM) for handling computational difficulties as well as reduces the model …

Among the applications enabled by expert systems, disease diagnosis is a particularly
important one. Nowadays, diabetes is found to be a complex health issue in human life …

Cardiovascular diseases (CVDs) remain a significant global health concern, demanding
precise and early prediction methods for effective intervention. In this comprehensive study …