See All Resources (861)
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A Dataset, FLTz flight simulator - 13 years, 3 months ago
Shared By: Nikunj Oza
This data set is a simulated data set based on the flight simulator "FLTz" used by the Intelligent Flight Control (IFC) group at NASA ARC. ...
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Other, Aeroelastic Prediction Workshop - 12 years, 10 months ago
Shared By: CAROL WIESEMAN
Benchmark Supercritical Wing was also tested on the OTT with oscillations in Pitch. Only one row of pressure transducers were acquired during these tests. The ...
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Configuration Information
Other, Aeroelastic Prediction Workshop - Organizing Committee - 13 years, 3 months ago
Shared By: CAROL WIESEMAN
RTO Technical 26 - Verification and Validation Data for Computational Unsteady Aerodynamics Compendium of Unsteady Pressure Measurements (AGARD R 702) McDevitt Ames Test of NACA ...
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McDevitt NACA 0012
A Publication, Aeroelastic Prediction Workshop - Organizing Committee - 11 years, 9 months ago
Shared By: CAROL WIESEMAN
PPT slide of McDevitt of NACA 0012 at Ames
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Compendium of Unsteady Aerodynamic Measurements
A Publication, Aeroelastic Prediction Workshop - Organizing Committee - 13 years, 3 months ago
Shared By: CAROL WIESEMAN
AGARD R702.bdf
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A Publication, Aeroelastic Prediction Workshop - 12 years, 10 months ago
Shared By: CAROL WIESEMAN
Computational Unsteady Aerodynamics computer codes are being increasingly used. In order to validate their results they must be tested against valid experimental data. The present ...
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Flyer Ideas
A Dataset, Aeroelastic Prediction Workshop - Organizing Committee - 13 years ago
Shared By: CAROL WIESEMAN
This contains draft ideas for potential use for project flyers.
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Telecon Resources
Other, Aeroelastic Prediction Workshop - Organizing Committee - 13 years, 1 month ago
Shared By: CAROL WIESEMAN
This contains slides and other information presented at telecons
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Block-GP: Scalable Gaussian Process Regression for Multimodal Data
A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago
Shared By: Ashok Srivastava
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression ...
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Block-GP: Scalable Gaussian Process Regression for Multimodal Data
A Publication, Kamalika Das's Collection - 13 years, 4 months ago
Shared By: Kamalika Das
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression ...
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Distributed Monitoring of the R2 Statistic for Linear Regression
A Publication, Kanishka Bhaduri's Collection - 13 years ago
Shared By: Kanishka Bhaduri
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one ...
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Fast and Flexible Multivariate Time Series Subsequence Search
A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago
Shared By: Ashok Srivastava
Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical monitoring, and ...
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HIRENASD Structural Model/Interpolation
Other, Aeroelastic Prediction Workshop - Organizing Committee - 13 years, 3 months ago
Shared By: CAROL WIESEMAN
This documents the modal results for the provided HIRENASD Finite element models (with temperature of 293K). Post your comments below MODE NO.Structured FEM (Hz)Unstructured FEM ...
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Grids Information
A Dataset, Aeroelastic Prediction Workshop - Organizing Committee - 12 years, 10 months ago
Shared By: PAWEL CHWALOWSKI
This section contains information about grids for AePW. Gridding Guidelines
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Metrics for Offline Evaluation of Prognostic Performance
A Publication, Prognostics CoE Publications - 13 years, 5 months ago
Shared By: Kai Goebel
Prognostic performance evaluation has gained significant attention in the past few years. Currently, prognostics concepts lack standard definitions and suffer from ambiguous and inconsistent interpretations. ...
