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

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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 ...

Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...

Harvard University is offering free online courses for learners in artificial intelligence, data science, and programming.

Abstract: Urban vegetation classification is challenging due to the heterogeneous nature of urban environments. Accurate mapping of urban vegetation, which plays a crucial role in regulating ...

Abstract: The purpose of this study is to estimate and predict onion wholesale price volatility using statistical and machine learning algorithms. Traditional models like ARIMA and GARCH were compared ...

A new study by Justin Grandinetti of the University of North Carolina at Charlotte challenges one of the most dominant narratives in artificial intelligence: that modern AI systems are inherently ...

Federal scientists announced a new artificial intelligence tool that can forecast drought conditions 90 days ahead across the ...

A team of researchers presents a novel interdisciplinary strategy to tackle the complex challenge of Scope 3 emissions within the automotive manufacturing sector. With global climate change concerns ...

Objective: This study aimed to develop and evaluate a machine learning (ML)–based algorithm to predict whether an initial vancomycin dose falls within the therapeutic range of the 24-hour area under ...