Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Remote work and high salaries can go hand in hand. Many professionals, especially those with sought-after credentials and experience, earn top dollar in high-paying remote jobs that offer more ...

The system's ability to learn and adapt from operational data resulted in continuous performance improvements over time. Hospital administrators reported significant reductions in scheduling conflicts ...

Vehicle platooning, first studied as an application of Intelligent Transportation Systems (ITS), is increasingly gaining ...

Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...

New approach methodologies (NAMs) aim to address the limitations of animal models by assessing drug efficacy and safety in a more ethical, human-relevant way. The term ‘NAMs’ encompasses several ...

Many have sought to revitalize the accounting profession by attracting a new generation of tech-savvy young professionals that would utilize tools like ...

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

A long-running cyber-espionage group known as Confucius has introduced new techniques in its campaigns against Microsoft Windows users. First identified in 2013, the group has consistently targeted ...