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  • Towards Software Health Management with Bayesian Networks

    A Publication, Ashok Srivastava's Collection - 10 years, 1 month ago

    Shared By: Ashok Srivastava

    More and more systems such as aircraft, machinery, and cars rely heavily on software, which performs safety-critical operations. Assuring software safety though traditional V&V; has ...

    meatball
  • Sparse Inverse Gaussian Process Regression with Application to Climate Network Discovery

    A Publication, Ashok Srivastava's Collection - 10 years, 4 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. Gaussian Process regression is ...

    meatball
  • Privacy Preservation through Random Nonlinear Distortion

    A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

    Shared By: Ashok Srivastava

    Consider a scenario in which the data owner has some private or sensitive data and wants a data miner to access them for studying important ...

    meatball
  • Trajectory Clustering with Applications to Airspace Monitoring

    A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

    Shared By: Ashok Srivastava

    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 ...

    meatball
  • Efficient Keyword-Based Search for Top-K Cells in Text Cube

    A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

    Shared By: Ashok Srivastava

    Previous studies on supporting free-form keyword queries over RDBMSs provide users with linked-structures (e.g.,a set of joined tuples) that are relevant to a given keyword ...

    meatball
  • Vehicle-Level Reasoning Systems: Integrating System-Wide data to Estimate Instantaneous Health State

    A Publication, Ashok Srivastava's Collection - 10 years, 4 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 ...

    meatball
  • Sparse Machine Learning Methods for Understanding Large Text Corpora

    A Publication, Ashok Srivastava's Collection - 10 years, 4 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 ...

    meatball
  • The Case for Software Health Management

    A Publication, Ashok Srivastava's Collection - 10 years, 4 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 ...

    meatball
  • Space Shuttle Main Propulsion System Anomaly Detection: A Case Study

    A Publication, Ashok Srivastava's Collection - 10 years, 4 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, ...

    meatball
  • Greener Aviation with Virtual Sensors: A Case Study

    A Publication, Ashok Srivastava's Collection - 10 years, 4 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 ...

    meatball
  • Indir Jaganjac

    An Algorithm, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 12 years, 4 months ago

    Shared By: Indir Jaganjac

    Machine Learning (ML) from USGS NEIC global earthquake catalog data. Machine Learning (ML) and building predictive rules and trees from global earthquake catalog data

    meatball
  • Indir Jaganjac

    An Algorithm, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 12 years, 4 months ago

    Shared By: Indir Jaganjac

    Machine Learning (ML) from USGS NEIC global earthquake catalog data. Machine Learning (ML) and building predictive rules and trees from global earthquake catalog data

    meatball
  • FLEA Data FAQ

    A Dataset, FLEA - 12 years, 3 months ago

    Shared By: EDWARD BALABAN

    Frequently asked questions about FLEA (Flyable Electro-Mechanical Actuator) testbed data sets.

    meatball
  • Amphibious Aircraft

    Other, Arnab Chatterjee's Collection - 12 years, 4 months ago

    Shared By: Arnab Chatterjee

    A brief self composed research article on Amphibious Aircrafts discussing their use, origin and modern day applications along with their advantages and disadvantages over conventional ...

    Beriev Cessna

  • 2011_11_25 Lab

    A Dataset, FLEA - 12 years, 5 months ago

    Shared By: EDWARD BALABAN

    A data set of two-minute scenarios with a large set of motion and load profiles. Each scenario started with a nominal actuator, then, at 1-minute ...

    meatball