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    CCR
    2007
    107views more  CCR 2007»
    Dynamic load balancing without packet reordering
    13 years 9 months ago
    Dynamic load balancing without packet reordering
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    Dynamic load balancing is a popular recent technique that protects ISP networks from sudden congestion caused by load spikes or link failures. Dynamic load balancing protocols, ho...
    Srikanth Kandula, Dina Katabi, Shantanu Sinha, Art...
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    JAR
    2006
    236views more  JAR 2006»
    Deciding Boolean Algebra with Presburger Arithmetic
    13 years 9 months ago
    Deciding Boolean Algebra with Presburger Arithmetic
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    We describe an algorithm for deciding the first-order multisorted theory BAPA, which combines 1) Boolean algebras of sets of uninterpreted elements (BA) and 2) Presburger arithmeti...
    Viktor Kuncak, Huu Hai Nguyen, Martin C. Rinard
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    TMI
    2008
    101views more  TMI 2008»
    Robust Linearized Image Reconstruction for Multifrequency EIT of the Breast
    13 years 9 months ago
    Robust Linearized Image Reconstruction for Multifrequency EIT of the Breast
    Download  www.iprpi.rpi.edu
    Abstract--Electrical impedance tomography (EIT) is a developing imaging modality that is beginning to show promise for detecting and characterizing tumors in the breast. At Renssel...
    Gregory Boverman, Tzu-Jen Kao, Rujuta Kulkarni, Bo...
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    TWC
    2008
    141views more  TWC 2008»
    Progressive Accumulative Routing: Fundamental Concepts and Protocol
    13 years 9 months ago
    Progressive Accumulative Routing: Fundamental Concepts and Protocol
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    This paper considers a multi-hop network in which relay nodes cooperate to minimize the total energy consumed in transmitting a (unicast) packet from a source to a destination. We...
    Raymond Yim, Neelesh B. Mehta, Andreas F. Molisch,...
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    BMCBI
    2004
    208views more  BMCBI 2004»
    Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
    13 years 9 months ago
    Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
    Download  www.biomedcentral.com
    Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
    Vadim Alexandrov, Mark Gerstein
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