2022). Two machine learning algorithms (RF and SVM) were used to classify tree species based on all extracted features. RF is based on decision trees, reduces overfitting through random attribute ...

History has a way of repeating itself. But unlike science, built on general principles and testable theories about the ...

As quantum computing hardware advances, the demand for scalable, precise, and fully automated verification techniques for ...

AI workload demands continue to expand, with generative AI a driver of further investment in infrastructure. As organizations ...

Abstract: In this paper, we present a new algorithm for learning oblique decision trees. Most of the current decision tree algorithms rely on impurity measures to assess the goodness of hyperplanes at ...

Deep-learning-based SR methods have also emerged in the literature to pursue better SR results. In this paper, we propose to use a set of decision tree strategies for fast and high-quality image SR.

Researchers compare advanced genetic methods that pinpoint a tree’s origin on a continuous scale, refining seed sourcing, ...

A Power BI report analyzing global health trends, disease-specific data, and healthcare infrastructure across countries. Includes KPI cards, slicers, and interactive charts for insightful exploration.

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