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Shared by: WILLIAM MCDERMOTT
This forum is for exchange of information regarding tissue samples collected from animal studies funded by the NASA HRP Space ...
8 members / 2 resources
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Data Mining and Knowledge Discovery
Shared by: Vijay Manikandan Janakiraman
The goal is to discover precursors to adverse events/anomalies for which data leading up to the anomaly is available. An ...
3 members / 2 resources
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Data Mining and Knowledge Discovery, Diagnostics, Mitigation, Prognostics
Shared by: RODNEY MARTIN
Sustainability Base (N232) is a 50,000 sq ft high-performance office building on the NASA Ames campus. A goal of Sustainability ...
9 members / 6 resources
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Data Mining and Knowledge Discovery
Shared by: Bryan Matthews
Through access to de-identified aggregate flight recorded data, researchers have the ability to proactively identify and analyze trends and target ...
16 members / 37 resources
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Data Mining and Knowledge Discovery
Shared by: Bryan Matthews
17 members / 1 resources
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Data Mining and Knowledge Discovery
Shared by: Elizabeth Foughty
The Intelligent Data Understanding (IDU) Group collaborates with domain scientists in the fields of Integrated System Health Management, Aeronautics, Space ...
5 members / 0 resources
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Data Mining and Knowledge Discovery, Diagnostics, Human Factors, Prognostics, Verification and Validation
Shared by: Elizabeth Foughty
Information on tools and technologies developed by NASA for Commercial and General Aviation Operators. Check out some of the Opensource ...
15 members / 0 resources
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Data Mining and Knowledge Discovery, Diagnostics
Shared by: Bryan Matthews
The SequenceMiner was developed to address the problem of detecting and describing anomalies in large sets of high-dimensional symbol sequences ...
10 members / 2 resources
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Data Mining and Knowledge Discovery, Diagnostics
Shared by: Nikunj Oza
The Rotary Dynamics Laboratory at NASA Glenn Research Center has acquired data on simulated engine disks for the purpose of ...
2 members / 3 resources
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Data Mining and Knowledge Discovery
Shared by: Leo Wang
We conducted a study on developing an anomaly detector that can run on heterogeneous data sets. This research resulted in ...
23 members / 11 resources