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1 - 2 of 2 resultsSearch results for "learning processes"
Consensus Study Report
Adaptive Management for Water Resources Project Planning (2004)
National Research Council; Division on Earth and Life Studies; Water Science and Technology Board; Ocean Studies Board; Panel on Adaptive Management for Resource Stewardship; Committee to Assess the U.S. Army Corps of Engineers Methods of Analysis and Peer Review for Water Resources Project Planning
Earth Sciences
Proceedings
Machine Learning and Artificial Intelligence to Advance Earth System Science: Opportunities and Challenges: Proceedings of a Workshop (2022)
National Academies of Sciences, Engineering, and Medicine; Division on Earth and Life Studies; Division on Engineering and Physical Sciences; Board on Atmospheric Sciences and Climate; Board on Earth Sciences and Resources; Ocean Studies Board; Board on Mathematical Sciences and Analytics; Computer Science and Telecommunications Board; Rachel Silvern, Rapporteur
Computers and Information Technology | Earth Sciences