Scientists in China have developed a novel missingness-aware power forecasting method that leverages signal decomposition, multi-scale covariate interaction, and multi-domain collaborative transfer ...

A panel tasked with studying Alberta's post-secondary institutions has made 11 recommendations to the provincial government, including replacing the current provincial funding framework and that it ...

Discover how to enhance your models with panel lining techniques. We share tips on how to fill in small details effectively and make your decals pop, ensuring your creations stand out, even from a ...

David AI Labs Inc. a startup selling audio data sets to help train artificial intelligence models, has raised $50 million from investors in a new round of funding — signaling a growing market for ...

NEW DELHI (Reuters) -Hollywood and Bollywood groups are lobbying an Indian panel for stricter copyright protection that will prevent artificial intelligence firms from using their intellectual ...

Morocco's 2026 budget will allocate 140 billion dirhams ($15 billion) to health and education, up 16% from last year, the royal palace said in a statement on Sunday.

Abstract: Modeling of nonlinear loads is crucial for analyzing and evaluating power quality in modern power system. To further enhance both accuracy and robustness, a novel data-driven nonlinear load ...

Jason Abrevaya, Siwan Anderson, Stéphane Bonhomme, Gary Hansen, Bo Honoré, and Justin Muzinich were elected to the NBER Board of Directors at the Board’s September 29 meeting. Abrevaya represents the ...

Abstract: In data-driven nonlinear modeling, kernel partial least squares (KPLS) is a useful tool for quality-related process monitoring. However, in time-varying nonlinear processes, degraded ...