South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

A Republic investigation found 'crime-free lease addendums' don't reduce crime but fast-track evictions, harming low-income ...

Cambridge, MA – Let’s say an environmental scientist is studying whether exposure to air pollution is associated with lower birth weights in a particular county. They might train a machine-learning ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min A hotel executive says he's ...

Extreme rainfall, rapid urbanization and aging drainage systems are pushing many major cities into higher levels of pluvial flood risk, raising the urgency for data-driven planning tools that can ...

Introduction Ewing sarcoma is a rare paediatric cancer. Currently, there is no way of accurately predicting these patients’ survival at diagnosis. Disease type (ie, localised disease, ...

During last year’s presidential debate between Donald Trump and Kamala Harris, Trump said violent crime was rising. ABC moderator David Muir immediately fact-checked him, claiming, “President Trump, ...

ABSTRACT: This research develops a novel cross-disciplinary framework that bridges financial systemic risk modeling with supply chain network analysis to advance resilience assessment and policy ...

Online data has the potential to transform how researchers and companies produce election forecasts. Social media surveys, online panels, and even comments scraped from the internet can offer valuable ...

The berm package implements the Bootstrap-Enhanced Regularization Method (BERM), a statistical approach aiming to enhance the robustness and accuracy of variable selection and coefficient estimation ...