A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence ...

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...

This article appears in the December 2025 issue of The American Prospect magazine. Subscribe here. Earlier this year, a slightly balding man in spectacles, a black T-shirt, and bright high-top ...

Purpose: To develop effective machine learning models that analyze pattern visual evoked potentials (PVEPs) to predict the stabilized visual acuity (VA) of patients with treated ocular trauma. Methods ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

Mr. Van Aertryck and Mr. Danielson are filmmakers. The camera is a tool — but to do what? Images shape our daily life, yet we rarely question how they’re made or why. As filmmakers, we’re fascinated ...

1 Department of Graduate School, Qinghai University, Xining, China 2 Department of Neurosurgery, Qinghai Provincial People's Hospital, Xining, China Background: The poor prognosis of hypertensive ...

Abstract: Prediction of open circuit (OC) faults in a T-Type multilevel inverter (MLI) with high accuracy using machine learning (ML) models is a critical issue for the reliability of power electronic ...

Abstract: Prediction models for disease onset are critical in biomedical research and survival analysis. With machine learning methods increasingly being used to handle survival data with censoring, ...

ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...