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    CIBCB
    2009
    IEEE
    172views Computational Biology» more  CIBCB 2009»
    Improved prediction of trans-membrane spans in proteins using an artificial neural network
    15 years 2 months ago
    Improved prediction of trans-membrane spans in proteins using an artificial neural network
    Download  www.meilerlab.org
    Tools for the identification of trans-membrane spans from the protein sequence are widely used in the experimental community. Computational structural biology seeks to increase the...
    Julia Koehler, Ralf Mueller, Jens Meiler
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    ESWA
    2006
    78views more  ESWA 2006»
    Subscription fraud prevention in telecommunications using fuzzy rules and neural networks
    15 years 1 months ago
    Subscription fraud prevention in telecommunications using fuzzy rules and neural networks
    Download  www.cec.uchile.cl
    A system to prevent subscription fraud in fixed telecommunications with high impact on long-distance carriers is proposed. The system consists of a classification module and a pre...
    Pablo A. Estévez, Claudio M. Held, Claudio ...
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    CVPR
    2012
    IEEE
    233views Computer Vision» more  CVPR 2012»
    Enhanced continuous sign language recognition using PCA and neural network features
    13 years 4 months ago
    Enhanced continuous sign language recognition using PCA and neural network features
    Download  www-i6.informatik.rwth-aachen.de
    In this work a Gaussian Hidden Markov Model (GHMM) based automatic sign language recognition system is built on the SIGNUM database. The system is trained on appearance-based feat...
    Yannick L. Gweth, Christian Plahl, Hermann Ney
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    FLAIRS
    1998
    142views Artificial Intelligence» more  FLAIRS 1998»
    Aflatoxin Prediction Using a GA Trained Neural Network
    15 years 3 months ago
    Aflatoxin Prediction Using a GA Trained Neural Network
    Download  www.aaai.org
    Predictingthe level of aflatoxincontaminationin cropsof peanuts is a task of significant importance. Backpmpagationneural networkshavebeenused in the past to modelthis problem,but...
    C. E. Henderson, Walter D. Potter, Ronald W. McCle...
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    JCP
    2008
    166views more  JCP 2008»
    Water Demand Prediction using Artificial Neural Networks and Support Vector Regression
    15 years 1 months ago
    Water Demand Prediction using Artificial Neural Networks and Support Vector Regression
    Download  www.academypublisher.com
    Computational Intelligence techniques have been proposed as an efficient tool for modeling and forecasting in recent years and in various applications. Water is a basic need and as...
    Ishmael S. Msiza, Fulufhelo Vincent Nelwamondo, Ts...
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