This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

A team of scientists from around the world has created the first system that can predict when and where extremely powerful ...

The National Hurricane Center is expanding its use of artificial intelligence tools to enhance storm tracking and intensity ...

Abstract: Accurate rainfall forecasting plays a crucial role in weather monitoring. Currently, the application of Global Navigation Satellite System-derived precipitable water vapor (GNSS-PWV) has ...

We present a knowledge‐guided machine learning framework for operational hydrologic forecasting at the catchment scale. Our approach, a Factorized Hierarchical Neural Network (FHNN), has two main ...

1 Department of Mathematics and Computer Science, Faculty of Sciences, University of Ngaoundéré, Ngaoundéré, Cameroon. 2 Department of Mathematics and Computer Science, ENSAI, University of Ngaoundéré ...

Production-ready machine learning system that predicts bike rental demand using real-world public APIs and historical data. Built with Docker-first architecture for seamless deployment, the system ...

ABSTRACT: The surge of digital data in tourism, finance and consumer markets demands predictive models capable of handling volatility, nonlinear dynamics, and long-term dependencies, where traditional ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Formula 1 is returning to America for one of the most 'iconic' races amongst Formula 1 fans at Austin's Circuit of the Americas. This location is home to an incredibly difficult track, featuring steep ...

Storm Agnes is seen over the Bay of Biscay offshore western Europe on 27 September 2023 in this image captured by the Flexible Combined Imager on the Meteosat Third Generation satellite. Credit: ...

When supply chain practitioners think about forecasting, they focus on demand forecasting. Demand forecasting is essential, but the number of different forecasts that an effective organization should ...