A deceptively simple question underlies many global environmental policies: where, exactly, are the world’s forests? A new study suggests the answer depends heavily on which map one consults—and that ...
Abstract: Random forests are a machine learning method used to automatically classify datasets and consist of a multitude of decision trees. While these random forests often have higher performance ...
RFX-Fuse (Random Forests X [X=compression] — Forest Unified Learning and Similarity Engine) delivers Breiman and Cutler's complete vision for Random Forests as a Forests Unified Machine Learning and ...
Survival analysis applied to a breast cancer dataset, including information on hormone therapy, chemotherapy, radiotherapy, and time-to-event variables. The study uses Kaplan–Meier curves, GLM models, ...
ABSTRACT: Despite its significant impacts on climate, environment, and public health, air pollution monitoring in Africa is still sparse. This study developed a machine learning framework of four ...
(WHTM) — Leaf-peepers rejoice! As fall foliage is starting to take hold in some parts of Pennsylvania, you’ll soon have the rare opportunity to drive deep into Keystone State forests. The Pennsylvania ...
Meta Platforms Inc. has signed a multi-year contract worth more than $100 million to use technology from AI image startup Black Forest Labs, the latest investment by the social media firm to expand ...
1 Department Monitoring and Exploration Technologies, UFZ – Helmholtz Centre for Environmental Research GmbH, Leipzig, Germany 2 Department of Environmental and Engineering Geophysics, University of ...
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 ...
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