The role of machine learning and deep learning in wildfire prediction remains limited by geographic concentration, uneven ...

To effectively protect biodiversity in an era of climate change, ecologists first have to know where animal and plant species ...

The semiconductor industry is known for its complex production. Thousands of machines (tools) perform thousands of operations over a diverse range of products with re-entrant flows and shifting ...

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one of the nature-based and cost-effective solutions for climate change ...

Abstract: Decision trees, widely used in machine learning, have recently been scrutinized for their fairness. Existing fair decision tree algorithms mainly intervene in the processing mechanism, which ...

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...

The field of neuroimaging has undergone profound transformation in recent years, driven primarily by rapid advances in machine learning (ML), and especially deep learning (DL), techniques. These ...

Mr. Currell was a deputy undersecretary and senior adviser at the Department of Education from 2018 to 2021. He is a trustee of Gustavus Adolphus College in St. Peter, Minn. See more of our coverage ...

Kidney cancer is a highly heterogeneous oncologic disease with historically poor prognosis. Precise assessment of the risk of distal metastasis can facilitate risk stratification and improve prognosis ...

Abstract: Classifying metals is an essential task in all industries to make sure the materials used in the processes are safe and meet the required standards all while enhancing operational and cost ...