If you happen to be on a Texas highway sometime this summer, and see a 50,000-pound semi truck barreling along with nobody behind the wheel, just remember: A self-driving truck is less likely to kill ...
After our decade-long relationship, I’m breaking up with Spotify. It’s nothing personal. It’s just that Spotify and I have grown up, but we haven’t grown together. Over the years, I’ve been tempted to ...
Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify tomatoes ...
Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
The ML Algorithm Selector is an interactive desktop application built with Python and Tkinter. It guides users through a decision-making process to identify suitable machine learning algorithms for ...
Abstract: Utilizing data mining tasks such as classification on spatial data is more complex than those on non-spatial data. It is because spatial data mining algorithms have to consider not only ...
A comprehensive implementation of a Decision Tree classifier using the ID3 algorithm, featuring advanced visualization capabilities and support for multiple datasets. Built entirely from scratch ...
Municipal Solid Waste Generation (MSWG) presents a significant challenge for sustainable urban development, with waste production escalating at alarming rates worldwide. To address this issue, ...
Using an input image, the Tree-D Fusion creates a 3D tree model that can be used to simulate various stages of development. WEST LAFAYETTE, Ind. — Trees compete for space as they grow. A tree with ...
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