Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
Abstract: Precise mapping of forest vegetation, including both dominant tree species and other vegetation types, is essential for forest management and biodiversity conservation, yet traditional ...
BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
Explore the binomial tree model's use in option pricing, its workings, and examples. Learn how this model estimates intrinsic ...
How do you like your Christmas lights? We all have our preferences, and we’re spoiled for choice, making it easy to decorate our trees exactly the way we want. You can pick white lights, multi-color ...
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 ...
Abstract: Urban tree species identification is crucial for forest management and ecosystem assessment. Mobile laser scanning (MLS) provides significant advantages for this task through its flexibility ...
Introduction: Ovarian Cancer (OC) is one of the leading causes of cancer deaths among women. Despite recent advances in the medical field, such as surgery, chemotherapy, and radiotherapy interventions ...
ABSTRACT: Making the distinction between different plantation tree species is crucial for creating reliable and trustworthy information, which is critical in forestry administration and upkeep. Over ...
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