Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Entity resolution (ER) aims to identify and match records referring to the same entity from multiple data sources, which is a ...

Recent developments in molecular biophysics and AI provide a path to connect biomolecular structure and dynamics with ...

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.

Big Earth Data Journal is calling for papers for a Special Issue on 10th Anniversary Special Issue of Big Earth Data. The journal has published pioneering research that leverages Earth observations, ...

Entity resolution (ER) aims to identify and match records referring to the same entity from multiple data sources, which is a crucial task in data ...

Austrian economists have long criticized using mathematics to undergird economic analysis. It is time to apply that same ...

(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

The market for microbiome sample preparation technology presents opportunities driven by demand for personalized medicine, ...