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DATA MINING THE GALAXY ZOO MERGERS
DATA MINING THE GALAXY ZOO MERGERS STEVEN BAEHR, ARUN VEDACHALAM, KIRK BORNE, AND DANIEL SPONSELLER Abstract. Collisions between pairs of galaxies usually end in the coalescence... -
Empirical Evaluation of Diagnostic Algorithm Performance Using a Generic Framework
A variety of rule-based, model-based and datadriven techniques have been proposed for detection and isolation of faults in physical systems. However, there have been few efforts... -
Towards Requirements in Systems Engineering for Aerospace IVHM Design
Health management (HM) technologies have been employed for safety critical system for decades, but a coherent systematic process to integrate HM into the system design is not... -
FLEA Data FAQ
Frequently asked questions about FLEA (Flyable Electro-Mechanical Actuator) testbed data sets. -
Metrics for Evaluating Performance of Prognostic Techniques
Prognostics is an emerging concept in condition basedmaintenance(CBM)ofcriticalsystems.Alongwith developing the fundamentals of being able to confidently predict Remaining... -
Peer-to-Peer Data Mining, Privacy Issues, and Games
Peer-to-Peer (P2P) networks are gaining increasing popularity in many distributed applications such as file-sharing, network storage, web caching, sear- ching and indexing of... -
Comparison of Prognostic Algorithms for Estimating Remaining Useful Life of Batteries
We were interested here in particular in conditions where un-modeled effects are present as manifested by the different degradation curve at 45°C. Although all algorithms were... -
Analysis of Virtual Sensors for Predicting Aircraft Fuel Consumption
Previous research described the use of machine learning algorithms to predict aircraft fuel consumption. This technique, known as Virtual Sensors, models fuel consumption as a... -
An Adaptive Recurrent Neural Network for Remaining Useful Life Prediction of...
Prognostics is an emerging science of predicting the health condition of a system (or its components) based upon current and previous system states. A reliable predictor is very... -
Standardizing Research Methods for Prognostics
Prognostics and health management (PHM) is a maturing system engineering discipline. As with most maturing disciplines, PHM does not yet have a universally accepted research... -
Bonissone CIDU Presentation: Design of Local Fuzzy Models
After reviewing key background concepts in fuzzy systems and evolutionary computing, we will focus on the use of local fuzzy models, which are related to both kernel regressions... -
RSW Node Centered Coarse Grid w/ Split Walls Modified
Dr. Chwalowski, We just generated a modified version of the coarse node centered grid with split walls. Here the red and green sections you highlighted in the email have been... -
Shankar
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Multiple Kernel Learning for Heterogeneous Anomaly Detection: Algorithm and...
The world-wide aviation system is one of the most complex dynamical systems ever developed and is generating data at an extremely rapid rate. Most modern commercial aircraft... -
Highly Scalable Matching Pursuit Signal Decomposition Algorithm
In this research, we propose a variant of the classical Matching Pursuit Decomposition (MPD) algorithm with significantly improved scalability and computational performance. MPD... -
Developing Large-Scale Bayesian Networks by Composition
In this paper, we investigate the use of Bayesian networks to construct large-scale diagnostic systems. In particular, we consider the development of large-scale Bayesian... -
DXC'09 Industrial Track Competition Data
Competition data, including nominal and faulty scenarios, for Industrial Track Tier 1 and Tier 2 of the First International Diagnostic Competition. Three file formats are... -
Intelligent Temporal Data Driven World Actuation in Ambient Environments...
Abstract — A possible resident of smart home is an old person or an Alzheimer patient that should be assisted continuously for the rest of his life; however, normally this... -
Flight Data For Tail 656
The following zip files contain individual flight recorded data in Matlab file format. There are 186 parameters each with a data structure that contains the following: -sensor... -
SAR Image Enhancement using Particle Filters
In this paper, we propose a novel approach to reduce the noise in Synthetic Aperture Radar (SAR) images using particle filters. Interpretation of SAR images is a difficult...