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    ICONIP
    2008
    82views Information Technology» more  ICONIP 2008»
    Frost Prediction Characteristics and Classification Using Computational Neural Networks
    13 years 6 months ago
    Frost Prediction Characteristics and Classification Using Computational Neural Networks
    Download  www.geo-informatics.org
    The effect of frost on the successful growth and quality of crops is well understood by growers as leading potentially to total harvest failure. Studying the frost phenomenon, espe...
    Philip Sallis, Mary Carmen Jarur Muñoz, Mar...
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    ICIP
    2003
    IEEE
    148views Image Processing» more  ICIP 2003»
    Non-linear 3D rendering workload prediction based on a combined fuzzy-neural network architecture for grid computing application
    14 years 6 months ago
    Non-linear 3D rendering workload prediction based on a combined fuzzy-neural network architecture for grid computing application
    Download  www.csd.uoc.gr
    Although, computational Grid has been initially developed to solve large-scale scientific research problems, it is extended for commercial and industrial applications. An interest...
    John K. Doulamis, Anastasios D. Doulamis
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    BMCBI
    2008
    123views more  BMCBI 2008»
    Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
    13 years 5 months ago
    Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
    Download  www.biomedcentral.com
    Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
    Firoz Anwar, Syed Murtuza Baker, Taskeed Jabid, Md...
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    IEAAIE
    2004
    Springer
    181views Artificial Intelligence» more  IEAAIE 2004»
    Data Mining Approach for Analyzing Call Center Performance
    13 years 10 months ago
    Data Mining Approach for Analyzing Call Center Performance
    Download  www.softcomputing.net
    Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
    Marcin Paprzycki, Ajith Abraham, Ruiyuan Guo, Srin...
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    BMCBI
    2004
    205views more  BMCBI 2004»
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    13 years 4 months ago
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    Download  www.biomedcentral.com
    Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
    Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
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