There is indeed a vast literature on the design and analysis of decision tree algorithms that aim at optimizing these parameters. This paper contributes to this important line of research: we propose ...
Before Santa comes to town, the tree sellers do, packing themselves into trailers and vans across New York City to claim a slice of the competitive tree market. Kashmir Kang, who works for Greg’s ...
Abstract: Odontogenic cystic lesions (OCLs) are complex jaw abnormalities that require a precise diagnosis of the disease for treatment. Visual OCL diagnosis is commonly based on reviewing cone-beam ...
The U.S. Food and Drug Administration (FDA) released its Expanded Decision Tree (EDT) chemical toxicity and risk screening tool July 30. The tool was designed to provide a consistent, systematic, ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Decision-making during the early stages of research and development (R&D) should be ...
This is a code repository for our paper Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks During the last two decades, forest monitoring and ...
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 ...
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 ...
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 ...
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