Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...

The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

Read more about AI can’t deliver climate gains without strong governance and capacity building on Devdiscourse ...

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...

Scientists at the European Centre for Medium-Range Weather Forecasts have unveiled a machine learning technique that pinpoints optimal locations for tree planting, offering a powerful tool for climate ...

Alpha AI is available through the Zoonova AI web platform for $240 per year. Core features also remain available through the Zoonova AI mobile app, which is currently free to download on the Apple App ...

A new technical paper, “Characterizing tip-sample interaction dynamics on extreme ultraviolet nanostructures using atomic force microscopy with a high-aspect ratio tip,” was released by researchers at ...

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...

As atmospheric carbon dioxide levels continue to rise, accurately measuring the carbon stored in the world's forests has become more critical than ever. Forests are vital carbon sinks, but traditional ...

Abstract: Analyzing the temperature evolution during the construction of mass concrete and establishing accurate prediction models are essential for ensuring structural quality and construction safety ...

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...