Pa., told Nextgov/FCW that he wants to provide grant funding to figure out which risks “are the ones that we should be paying ...

AI-driven predictive scheduling is helping hospitals match staffing to real patient demand while reducing overtime and ...

Predictive risk scores created using administrative claims and publicly available social determinants of health data strongly ...

Abstract: Multi active bridge (MAB) converters have been increasingly used due to high-power density and flexible power sharing. However, the power cross-coupling effect among different MAB ports ...

Abstract: Model predictive control (MPC) achieves stability and constraint satisfaction for general nonlinear systems but requires computationally expensive online optimization. This brief studies ...

As the cruise industry accelerates its journey toward net zero, the challenge is no longer simply one of compliance but of foresight. While the International Maritime Organization’s (IMO) long-awaited ...

A predictive space weather model designed to simulate how solar storms affect Earth has been publicly released for researchers in the broader scientific community — as well as the general public — to ...

AI-driven predictive technology is reshaping warehouse safety. From smart cameras and sensors to wearables and VR training, new tools are helping managers detect risks early, prevent injuries, and ...

A few days ago, Google finally explained why its best AI image generation model is called Nano Banana, confirming speculation that the moniker was just a placeholder that stuck after the model went ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

ACA Research Group, Faculty of Business Studies, University of Vaasa, Vaasa, Finland. The content of this paper is divided into four short sections. In the first section, the motivation and content of ...