AI-ready Data in Solar Physics and Space Science: Concerns, Mitigation and Recommendations

Vol. 55, Issue 3 (Heliophysics 2024 Decadal Whitepapers) Pub Date : 2023-07-31 DOI:10.3847/25c2cfeb.2f4e60a3

B. Poduval, R. McPherron, R. Walker, M. D. Himes, K. M. Pitman, A. Azari, C. Shneider, A. Tiwari, S. Kapali, G. Bruno, M. Georgoulis, O. Verghoglyadova, J. Borovsky, G. Lapenta, J. Liu, T. Alberti, P. Wintoft, S. Wing, R. Shuping

引用次数: 2

Abstract

Numerous ground-based and space-borne measurements of various phenomena in space and on Earth have accumulated enormous volumes of time series data and imagery. Extracting information or knowledge discovery from such extensive data sets is a formidable task

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太阳物理和空间科学中的人工智能数据:关注、缓解和建议

对空间和地球上各种现象进行的无数地面和空间测量积累了大量的时间序列数据和图像。从如此广泛的数据集中提取信息或发现知识是一项艰巨的任务

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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