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 ...

Indonesia experiences massive forest fires as the dry season approaches. They are a major environmental challenge because ...

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

Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...

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

A new technical paper, “Characterizing tip-sample interaction dynamics on extreme ultraviolet nanostructures using atomic ...

As atmospheric carbon dioxide levels continue to rise, accurately measuring the carbon stored in the world's forests has ...

Using six gut- and diet-derived metabolites, a machine learning model had 79% accuracy in classifying adults as having ...

Researchers have developed an integrated gray wolf optimization algorithm-based hybrid estimation framework that combines ...

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