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A study published in Forests explored and compared multiple remote sensing methods and machine learning algorithms to estimate the forest growing stock in large-scale forests.
This work discuss the task of automatically detecting satire instances in short articles. It is the study of extracting the most optimal features by using a deep learning architecture combined with carefully handcrafted contextual features. It is found that a few sets can perform well when they are used independently, but the others not so much. However, even the latter sets become very useful after the combination process with the former sets. This shows that each of the feature sets are significant. Finally, the combined feature sets undergoes the classification using well-known machine lear...
Los Angeles, California--(Newsfile Corp. - August 30, 2022) - Priyanca Ford, founder of Kronos Fusion Energy Incorporated is all set to make the world a better place to live in with her company's innovative
Machine learning techniques are now very common in many spheres, and there is a growing popularity of these approaches in macroeconomic forecasting as well. Are these techniques really useful in the prediction of macroeconomic outcomes? Are they superior in performance compared to their traditional counterparts? We carry out a meta-analysis of the existing literature in order
While AI offers benefits, there are potential negative effects dental professionals should be aware of cautions a Journal of Dental Sciences commentary.