nature　asia

Hybrid machine learning models transform rainfall-runoff predictions in Ethiopia

Of the four machine-learning models, the long short-term memory model best modelled the rainfall-runoff process. Additionally, four ensemble techniques were examined to improve the accuracy of single ...

Unlocking subsurface geoenergy and storage potential using machine learning

FAYETTEVILLE, GA, UNITED STATES, March 20, 2026 /EINPresswire.com/ -- Using machine learning regression models, we ...
EurekAlert!

Smart solutions for sustainable energy: Machine learning powers biochar production from ...

The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, ...
Analytics Insight

Machine Learning, Stanford University

Stanford University’s Machine Learning (XCS229) is a 100% online, instructor-led course offered by the Stanford School of ...
Morning Overview on MSN

Manchester team builds ML models for stable molecular simulations at high heat

Researchers at The University of Manchester have built a machine-learning model that prevents simulated molecules from flying ...

Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...