Search Results - (( java data detection algorithm ) OR ( basic computer level algorithm ))

Refine Results
  1. 1

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

    Published 2016
    “…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
    Get full text
    Get full text
    Thesis
  2. 2

    CSC099: Foundation Computing II / Centre of Foundation Studies by UiTM, Centre of Foundation Studies

    Published 2022
    “…This course introduces basic computer programming algorithm, problem solving, structured programming language, selection structure, repetition structure, function and array. …”
    Get full text
    Get full text
    Get full text
    Teaching Resource
  3. 3

    Prevention And Detection Mechanism For Security In Passive Rfid System by Khor, Jing Huey

    Published 2013
    “…A GUI is created in a form of JAVA application to display data detected from tag. …”
    Get full text
    Get full text
    Thesis
  4. 4

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

    Published 2015
    “…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
    Get full text
    Get full text
    Thesis
  5. 5
  6. 6

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  7. 7
  8. 8

    Voting algorithms for large scale fault-tolerant systems by Karimi, Abbas

    Published 2011
    “…Using a proper test-bed, after 10000 run times, we compared our newly proposed algorithm with the basic algorithm in terms of reliability and availability. …”
    Get full text
    Get full text
    Thesis
  9. 9
  10. 10
  11. 11

    High performance hierarchical torus network under matrix transpose traffic patterns by Rahman, M.M. Hafizur, Susumu, Horiguchi

    Published 2004
    “…A Hierarchical Torus Network (HTN) is a 2D-torus network of multiple basic modules, in which the basic modules are 3Dtorus networks that are hierarchically interconnected for higher level networks. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
  12. 12

    Dynamic communication performance of a TESH network under the nonuniform traffic patterns by Rahman, M.M. Hafizur, Inoguchi, Yasushi, Sato, Yukinori, Miura, Yasuyuki, Horiguchi, Susumu

    Published 2008
    “…The Tori-connected mESH (TESH) Network is a 2D-torus network of multiple basic modules, in which the basic modules are 2D-mesh networks that are hierarchically interconnected for higher level networks. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
  13. 13

    A malware analysis and detection system for mobile devices / Ali Feizollah by Ali, Feizollah

    Published 2017
    “…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
    Get full text
    Get full text
    Get full text
    Thesis
  14. 14

    Dynamic communication performance of the TESH network under nonuniform traffic patterns by Rahman, M.M. Hafizur, Inoguchi, Yasushi, Sato, Yukinori, Miura, Yasuyuki, Horiguchi, Susumu

    Published 2009
    “…The Tori-connected mESH (TESH) Network is a 2D-torus network of multiple basic modules, in which the basic modules are 2D-mesh networks that are hierarchically interconnected for higher level networks. …”
    Get full text
    Get full text
    Get full text
    Article
  15. 15

    Human emotion recognition for computer games player using AdaBoost algorithm / Muhamad Nur Adhwa Muhamad Shukri by Muhamad Shukri, Muhamad Nur Adhwa

    Published 2017
    “…The idea present in applicationbased regarding how computer game can effect player emotion to support other methodology in marketing sales known as “Emotion Level” to solve the problem. …”
    Get full text
    Get full text
    Thesis
  16. 16

    Dynamic communication performance of a hierarchical torus network under non-uniform traffic patterns by Rahman, M.M. Hafizur, Horiguchi, Susumu

    Published 2004
    “…A Hierarchical Torus Network (HTN) is a 2D-torus network of multiple basic modules, in which the basic modules are 3D-torus networks that are hierarchically interconnected for higher level networks. …”
    Get full text
    Get full text
    Get full text
    Article
  17. 17
  18. 18

    Hierarchical Tori Connected Mesh Network by Rahman, M.M. Hafizur, Shah, Asadullah, Fukushi, Masaru, Inoguchi, Yasushi

    Published 2013
    “…Hierarchical interconnection networks provide high performance at low cost by exploring the locality that exists in the communication patterns of massively parallel computers. A Hierarchical Tori connected Mesh Network (HTM) is a 2D-torus network of multiple basic modules, in which the basic modules are 3D-mesh networks that are hierarchically interconnected for higher-level networks. …”
    Get full text
    Get full text
    Get full text
    Book Chapter
  19. 19

    TTN: a high performance hierarchical interconnection network for massively parallel computers by Rahman, M.M. Hafizur, Inoguchi, Yasushi, Sato, Yukinori, Horiguchi, Susumu

    Published 2009
    “…A Tori connected Torus Network (TTN) is a 2D-torus network of multiple basic modules, in which the basic modules are 2D-torus networks that are hierarchically interconnected for higher-level networks. …”
    Get full text
    Get full text
    Get full text
    Article
  20. 20