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1 - 6 of 6 resultsSearch results for "subsurface cavities"
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Consensus Study Report
Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification (2012)
National Research Council; Division on Engineering and Physical Sciences; Board on Mathematical Sciences and Their Applications; Committee on Mathematical Foundations of Verification, Validation, and Uncertainty Quantification
Math, Chemistry, and Physics | Surveys and Statistics
Proceedings
Data-Driven Modeling for Additive Manufacturing of Metals: Proceedings of a Workshop (2019)
National Academies of Sciences, Engineering, and Medicine; Division on Engineering and Physical Sciences; Board on Mathematical Sciences and Analytics; National Materials and Manufacturing Board; Janki Patel, Rapporteur
Engineering and Technology | Math, Chemistry, and Physics
Proceedings
Statistical Analysis of Massive Data Streams: Proceedings of a Workshop (2004)
National Research Council; Division on Engineering and Physical Sciences; Committee on Applied and Theoretical Statistics
Computers and Information Technology | Math, Chemistry, and Physics | Surveys and Statistics
Proceedings
Proceedings of a Workshop on Statistics on Networks (CD-ROM) (2007)
National Research Council; Division on Engineering and Physical Sciences; Board on Mathematical Sciences and Their Applications; Committee on Applied and Theoretical Statistics; Scott T. Weidman, Editor
Computers and Information Technology | Engineering and Technology | Math, Chemistry, and Physics | Surveys and Statistics
Consensus Study Report
From Maps to Models: Augmenting the Nation's Geospatial Intelligence Capabilities (2016)
National Academies of Sciences, Engineering, and Medicine; Division on Earth and Life Studies; Division on Engineering and Physical Sciences; Board on Earth Sciences and Resources; Mapping Science Committee; Board on Atmospheric Sciences and Climate; Board on Mathematical Sciences and Their Applications; Committee on Models of the World for the National Geospatial-Intelligence Agency
Earth Sciences | Math, Chemistry, and Physics | Surveys and Statistics
Consensus Study Report
Foundational Research Gaps and Future Directions for Digital Twins (2024)
National Academy of Engineering; National Academies of Sciences, Engineering, and Medicine; Division on Engineering and Physical Sciences; Division on Earth and Life Studies; Board on Mathematical Sciences and Analytics; Committee on Applied and Theoretical Statistics; Computer Science and Telecommunications Board; Board on Life Sciences; Board on Atmospheric Sciences and Climate; Committee on Foundational Research Gaps and Future Directions for Digital Twins
Computers and Information Technology | Math, Chemistry, and Physics