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[图形图像处理] 2018-NationalAquarium-MachineLearningModels

该项目分析了大西洋中部区域海洋废弃物组成的空间格局,以更好地了解和针对未来的减少努力。了解在我们当地生态系统中最常见的海洋废弃物类型(例如一次性塑料)及其空间格局,将告诉我们国家水族馆及其合作伙伴可以最有效地集中精力减少哪些类型的产品和地理区域。然后,我们可以将碎片数据与周围的f联系起来
This project analyzes spatial patterns in marine debris composition in the mid-Atlantic region to better inform and target future reduction efforts. Understanding the types of marine debris most commonly found in our local ecosystems (e.g. single-use plastics) and their spatial patterns will tell us what types of products and geographical areas on which the National Aquarium and its partners can most effectively focus our reduction efforts. We can then relate the debris data to the surrounding f (2024-02-25, R, 0KB, 下载0次)

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