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    BMCBI
    2010
    132views more  BMCBI 2010»
    Protein network prediction and topological analysis in Leishmania major as a tool for drug target selection
    13 years 8 months ago
    Protein network prediction and topological analysis in Leishmania major as a tool for drug target selection
    Download  www.biomedcentral.com
    Background: Leishmaniasis is a virulent parasitic infection that causes a worldwide disease burden. Most treatments have toxic side-effects and efficacy has decreased due to the e...
    Andrés F. Flórez, Daeui Park, Jong B...
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    DSP
    2006
    400views Emerging Technology» more  DSP 2006»
    On the application of cross correlation function to subsample discrete time delay estimation
    13 years 7 months ago
    On the application of cross correlation function to subsample discrete time delay estimation
    Download  www4.comp.polyu.edu.hk
    Cross correlation function (CCF) of signals is an important tool of multi-sensors signal processing. Parabola functions are commonly used as parametric models of the CCF in time d...
    Lei Zhang 0006, Xiaolin Wu
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    SOPR
    2002
    106views more  SOPR 2002»
    A discrete simulation model for assessing software project scheduling policies
    13 years 7 months ago
    A discrete simulation model for assessing software project scheduling policies
    Download  www.ipd.uka.de
    Good project scheduling is an essential, but extremely hard task in software management practice. In a software project, the time needed to complete some development activity is d...
    Frank Padberg
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    SMI
    2003
    IEEE
    143views Image Analysis» more  SMI 2003»
    Rough Surface Modeling Using Surface Growth
    14 years 1 months ago
    Rough Surface Modeling Using Surface Growth
    Download  www.simcenter.msstate.edu
    In this paper, we present a novel modeling method for synthesizing rough surfaces using discrete surface growth models. We employ a two-pass method. Initial point cluster data is ...
    Yootai Kim, Raghu Machiraju, David Thompson
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    LICS
    2009
    IEEE
    126views Automated Reasoning» more  LICS 2009»
    An Exponential Lower Bound for the Parity Game Strategy Improvement Algorithm as We Know it
    14 years 2 months ago
    An Exponential Lower Bound for the Parity Game Strategy Improvement Algorithm as We Know it
    Download  www2.tcs.ifi.lmu.de
    This paper presents a new lower bound for the discrete strategy improvement algorithm for solving parity games due to V¨oge and Jurdzi´nski. First, we informally show which stru...
    Oliver Friedmann
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