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Vehicle-Level Reasoning Systems: Integrating System-Wide data to Estimate Instantaneous Health State
A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago
Shared By: Ashok Srivastava
One of the primary goals of Integrated Vehicle Health Management (IVHM) is to detect, diagnose, predict, and mitigate adverse events during the flight of an ...
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Sparse Machine Learning Methods for Understanding Large Text Corpora
A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago
Shared By: Ashok Srivastava
Sparse machine learning has recently emerged as powerful tool to obtain models of high-dimensional data with high degree of interpretability, at low computational cost. This ...
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The Case for Software Health Management
A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago
Shared By: Ashok Srivastava
Software Health Management (SWHM) is a new field that is concerned with the development of tools and technologies to enable automated detection, diagnosis, prediction, and ...
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Space Shuttle Main Propulsion System Anomaly Detection: A Case Study
A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago
Shared By: Ashok Srivastava
The space shuttle main engine (SSME) is part of the Main Propnlsion System (MPS) which is an extremely complex system containing several sub-systems and components, ...
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Greener Aviation with Virtual Sensors: A Case Study
A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago
Shared By: Ashok Srivastava
The environmental impact of aviation is enormous given the fact that in the US alone there are nearly 6 million flights per year of commercial ...
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Trajectory Clustering and an Application to Airspace Monitoring
A Publication, IDEAS - 13 years, 2 months ago
Shared By: Vlad Popescu
This paper presents a framework aimed at monitoring the behavior of aircraft in a given airspace. Trajectories that constitute typical operations are determined and learned ...
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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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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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Privacy Preserving Outlier Detection through Random Nonlinear Data Distortion
A Publication, Kanishka Bhaduri's Collection - 13 years, 5 months ago
Shared By: Kanishka Bhaduri
Consider a scenario in which the data owner has some private/sensitive data and wants a data miner to access it for studying important patterns without ...
Ashok's Projects (16)
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Vehicle Level Reasoning System-VLRS
5 members
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