A self-navigating road trip sent me through misty villages, turf-roofed churches, gas-station hot dogs, and unexpected ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
How one creative couple, turned an abandoned barn next door into a contemporary family home. Take a look around the Gloucestershire home rewriting the rules of farmhouse ...
Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...
Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...
This project simulates a database management system using a B+ Tree to efficiently store and manage data. It demonstrates key database concepts such as table management, indexing, and basic tree ...
This paper first discusses the storage structure of trees, selects a convenient storage method for solving the nullity of trees, and then applies the relationship between the maximum matching number ...
Abstract: The alpha-tree, also known as the quasi-flat zone hierarchy is a widely used representation of images in Mathematical Morphology. This structure organizes the regions according to a ...
Researchers have developed a new computer-aided diagnosis (CAD) system, BREAST-CAD, to improve breast cancer detection accuracy using machine learning algorithms and a real-time client-server ...
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