Machine Learning for the Geosciences: Challenges and Opportunities

Geosciences is a field of great societal relevance that requires solutions to several urgent problems facing our humanity and the planet. As geosciences enters the era of big data, machine learning (ML)—that has been widely successful in commercial domains—offers immense potential to contribute to p...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering Jg. 31; H. 8; S. 1544 - 1554
Hauptverfasser:	Karpatne, Anuj, Ebert-Uphoff, Imme, Ravela, Sai, Babaie, Hassan Ali, Kumar, Vipin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial intelligence Atmospheric modeling Cross cutting Data models Domains Earth earth observation data Earth science Geology geoscience Machine learning Machine tools Meteorology physics-based models Sensors
ISSN:	1041-4347, 1558-2191
Online-Zugang:	Volltext
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