Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
Abstract: This letter proposes a novel online spatiotemporal ensemble learning framework that can rapidly adapt to load pattern changes caused by abnormal events. Unlike existing online learning ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Major challenges in toxicity prediction include dealing with imbalanced and limited ...
AI and ML are transforming forensic applications with e-nose systems, offering rapid, cost-effective analysis for volatile organic compounds. A 32-element MOS sensor array enhances e-nose forensic ...
Abstract: To improve the accuracy of breast cancer diagnosis and reduce examination costs, a novel ensemble learning method called support vector dynamic learning neural network (SVDL) is proposed in ...
The method not only overcomes limitations of traditional LiDAR scanning but also enables the extraction of other hard-to-measure crown parameters, promising to advance forest management, breeding, and ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. With the rise of deep learning, researchers have begun to use ...
The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by security ...
ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...
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