Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...

Abstract: A high-precision storm-time ionospheric model is crucial for both ionospheric research and precise positioning applications of global navigation satellite systems (GNSSs). However, the ...

Approximately 20% of ischemic strokes in the United States result from carotid artery stenosis. Carotid artery stenting (CAS) can reduce stroke risk, but variability in poststenting health outcomes ...

Thank you for answering my question! Actually I have some questions about Instrumental Forests and Generalized Random Forests： First，I have noticed that some authors of papers regress the Conditional ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01135. Full empirical data set, full TI predictions data set ...

ABSTRACT: Biogas is gaining prominence as a renewable energy source with significant potential to reduce greenhouse gas emissions and mitigate environmental impacts associated with fossil fuels. This ...

Away from football, he is a young man who likes to meditate, read the bible, spend time with family and quietly contemplate how he can improve. On the pitch, for Nottingham Forest, he has become an ...