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    DMIN
    2006
    124views Data Mining» more  DMIN 2006»
    Use of Multivariate Data Analysis for Lumber Drying Process Monitoring and Fault Detection
    14 years 11 months ago
    Use of Multivariate Data Analysis for Lumber Drying Process Monitoring and Fault Detection
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    Process monitoring refers to the task of detecting abnormal process operations resulting from the shift in the mean and/or the variance of one or more process variables. To success...
    Mouloud Amazouz, Radu Pantea
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    ISMIR
    2005
    Springer
    180views Music» more  ISMIR 2005»
    On the Detection of Melody Notes in Polyphonic Audio
    15 years 3 months ago
    On the Detection of Melody Notes in Polyphonic Audio
    Download  ismir2005.ismir.net
    This paper describes a method for melody detection in polyphonic musical signals. Our approach starts by obtaining a set of pitch candidates for each time frame, with recourse to ...
    Rui Pedro Paiva
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    RV
    2010
    Springer
    119views Hardware» more  RV 2010»
    LarvaStat: Monitoring of Statistical Properties
    14 years 8 months ago
    LarvaStat: Monitoring of Statistical Properties
    Download  www.cs.um.edu.mt
    Execution paths expose non-functional information such as system reliability and performance, which can be collected using runtime verification techniques. Statistics gathering an...
    Christian Colombo, Andrew Gauci, Gordon J. Pace
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    BMCBI
    2006
    103views more  BMCBI 2006»
    Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
    14 years 10 months ago
    Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
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    Background: The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level ...
    Sébastien Lemieux
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    BMCBI
    2006
    148views more  BMCBI 2006»
    Exploiting the full power of temporal gene expression profiling through a new statistical test: Application to the analysis of m
    14 years 10 months ago
    Exploiting the full power of temporal gene expression profiling through a new statistical test: Application to the analysis of m
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    Background: The identification of biologically interesting genes in a temporal expression profiling dataset is challenging and complicated by high levels of experimental noise. Mo...
    Veronica Vinciotti, Xiaohui Liu, Rolf Turk, Emile ...
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