callous
发表于 2025-3-25 04:27:40
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沐浴
发表于 2025-3-25 08:42:25
Book 2020f cybersecurity and climate change, two broad and impactful issues that benefit greatly from mathematical techniques. Each chapter in the book is a mathematical look into a specific research question related to one of these issues, an approach that offers the reader insight into the application of m
conifer
发表于 2025-3-25 13:30:26
Exploring the Application of Machine Learning for Downscaling Climate Projections,s (here represented by ERA-Interim reanalyses) to create temperature predictions at specific locations in areas of complex terrain. The methods are trained on and validated by temperature readings from mesonet weather stations in Colorado. This work has implications for fire prevention and water resources management, among other applications.
liaison
发表于 2025-3-25 15:52:35
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badinage
发表于 2025-3-25 22:42:35
Association for Women in Mathematics Serieshttp://image.papertrans.cn/r/image/827995.jpg
伴随而来
发表于 2025-3-26 01:14:07
https://doi.org/10.1007/978-3-030-58748-2cybersecurity; climate change; public policy; cryptography; modeling weather phenomena; digital forensics
植物群
发表于 2025-3-26 07:05:30
978-3-030-58750-5The Author(s) and the Association for Women in Mathematics 2020
多嘴
发表于 2025-3-26 09:19:28
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我说不重要
发表于 2025-3-26 13:13:29
Transparency Tools for Fairness in AI (Luskin),tools on three different publicly available datasets. We find that the tools are useful for understanding various dimensions of bias, and that in practice the algorithms are effective in starkly reducing a given observed bias when tested on new data.
编辑才信任
发表于 2025-3-26 20:50:15
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