As the usage of credit cards has become more common in health care applications of
everyday life, banks have found it very difficult to detect credit card fraud (CCF) …

Recent advances in machine learning (ML) have shown great promise in detecting heart
disease. However, to ensure the clinical adoption of ML models, they must not only be …

This article studies the development of a reliable AI model to detect fraudulent bank
transactions, including money laundering, and illegal activities with goods and services. The …

Customers today expect businesses to cater to their individual needs by tailoring the
products they purchase to their own preferences. The term “Industry 5.0” refers to a new …

A prediction model based on XGBoost is proposed for ultrasonic degradation of
micropollutants' kinetic constants. After parameter optimization through iteration, the model …

The study compares model approaches in predictive modeling for claim frequency and
severity within the cross-border cargo insurance domain. The aim is to identify the optimal …

Estimating rainfall accurately is crucial for both the community and various institutions
involved in managing water resources and preventing disasters. The XGBoost model has …

Industry 4.0 revolutionizes the manufacturing sector by integrating information technology
(IT) and operational technology (OT) to create smart factories. The IT-OT integration enables …

Businesses may now communicate with their consumers in new ways, make new strategic
decisions, and create new workflows thanks to technological advancements. Things like …

" K-Means" Clustering is an unsupervised literacy technique used to solve clustering
problems in information wisdom or machine literacy. Viscosity grounded DBSCAN is a …