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University of New Orleans Electronic Theses and Dissertations
'Andrew D. Lytle's Baton Rouge' Photograph Collection
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University of New Orleans Electronic Theses and Dissertations
  • All fields: Neural
(9 results)



Display: 20

    • Image Compression Using Cascaded Neural Networks

    • Image Compression Using Cascaded Neural Networks

    • cascade; neural networks; image compression

    • Images are forming an increasingly large part of modern communications, bringing the need for efficient and effective compression. Many techniques developed for this purpose include transform coding, vector quantization and neural networks. In...

    • 2003-08-07;
    • Hardware Implementation of a Novel Image Compression Algorithm

    • Hardware Implementation of a Novel Image Compression Algorithm

    • Lossless compression; Storage; Digital images

    • Image-related communications are forming an increasingly large part of modern communications, bringing the need for efficient and effective compression. Image compression is important for effective storage and transmission of images. Many...

    • 2006-01-20;
    • A Fuzzy/Neural Approach to Cost Prediction with Small Data Sets

    • A Fuzzy/Neural Approach to Cost Prediction with Small Data Sets

    • neural; fuzzy

    • The project objective in this work is to create an accurate cost estimate for NASA engine tests at the John C. Stennis Space Center testing facilities using various combinations of fuzzy and neural systems. The data set available for this cost...

    • 2004-05-21;
    • Investigation of Different Video Compression Schemes Using Neural Networks

    • Investigation of Different Video Compression Schemes Using Neural Networks

    • Communication; Image processing algorithms; Storage

    • Image/Video compression has great significance in the communication of motion pictures and still images. The need for compression has resulted in the development of various techniques including transform coding, vector quantization and neural...

    • 2006-01-20;
    • Weather radar image based forecasting using joint series prediction

    • Weather radar image based forecasting using joint series prediction

    • Radial Basis Function Neural Network, Forecasting, Time Series Prediction

    • Accurate rainfall forecasting using weather radar imagery has always been a crucial and predominant task in the field of meteorology [1], [2], [3] and [4]. Competitive Radial Basis Function Neural Networks (CRBFNN) [5] is one of the methods used...

    • 2010-12-17
    • Fast Algorithm for Modeling of Rain Events in Weather Radar Imagery

    • Fast Algorithm for Modeling of Rain Events in Weather Radar Imagery

    • Radial Basis Function Neural Network, Forecasting, Nowcasting, Tracking, Rain Events, Non-Rain Events, Gaussian Functions, Mahalanobis Distance, Pyramidal Synthesis, Cascade Synthesis, Coarse Resolution, 3D Elevations

    • Weather radar imagery is important for several remote sensing applications including tracking of storm fronts and radar echo classification. In particular, tracking of precipitation events is useful for both forecasting and classification of...

    • 2009-12-20
    • Pattern Recognition of Power Systems Voltage Stability Using Real Time Simulations

    • Pattern Recognition of Power Systems Voltage Stability Using Real Time Simulations

    • Real time simulator, Voltage stability, Voltage collapse, Blackout, Pattern recognition, Hypersim, EMTP

    • The basic idea deals with detecting the voltage collapse ahead of time to provide the operators a lead time for remedial actions and for possible prevention of blackouts. To detect cases of voltage collapse, we shall create methods using pattern...

    • 2010-12-17

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