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 ...

The purpose of this repository is to provide a few sample prompts used in order to create a simple Python GUI for the Linux desktop project. I created this repository and wrote these prompts on March ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Abstract: As we are now experiencing the advance of smart factories as a phenomenon of the Industry 4.0 paradigm, predictive maintenance takes the place of critical importance in optimizing the ...

Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can ...

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

Taiwo Feyijimi stands at a rare crossroads where advanced artificial intelligence, engineering education, and human learning converge. As a doctoral candidate in Engineering Education Transformations ...