Search Results - (( developing small replication algorithm ) OR ( java pattern classification algorithm ))

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  1. 1

    An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

    Published 2015
    “…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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    Thesis
  2. 2

    Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system by Beg, Abul Hashem

    Published 2011
    “…The PLSR architecture model, workflow and algorithms are described. The PLSR has been developed using Java Programming language. …”
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  3. 3

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Electing the best set of features will help to improve the classifier predictions in terms of the normal and abnormal pattern. The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. …”
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  4. 4

    Proactive multi-copy routing protocol for urban vehicular ad hoc network by Hassan, Aslinda, Bahaman, Nazrulazhar

    Published 2016
    “…This paper focuses on developing a proactive multi-copy routing protocol with carry and forward mechanism that is able to deliver packets from a source vehicle to a destination vehicle at a small delivery delay. …”
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    Article
  5. 5

    Proactive multi-copy routing protocol for urban vehicular ad hoc network by Hassan, Aslinda, Bahaman, Nazrulazhar

    Published 2015
    “…This paper focuses on developing a proactive multi-copy routing protocol with carry and forward mechanism that is able to deliver packets from a source vehicle to a destination vehicle at a small delivery delay. …”
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    Article
  6. 6

    Finger-Vein Biometric Identification Using Convolutional Neural Network by Syafeeza, Ahmad Radzi, Mohamed, Khalil-Hani, Rabia, Bakhteri

    Published 2016
    “…The proposed CNN is tested on a finger-vein database developed in-house that contains 50 subjects with 10 samples from each finger. …”
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