Search Results - (( evolution classification modeling algorithm ) OR ( evolution notification based algorithm ))

Search alternatives:

  • Showing 1 - 15 results of 15
Refine Results
  1. 1
    Classification of Immunosignature Using Random Forests for Cancer Diagnosis

    Classification of Immunosignature Using Random Forests for Cancer Diagnosis by Zarzar, Mouayad, Razak, Eliza, Htike@Muhammad Yusof, Zaw Zaw, Yusof, Faridah

    Published 2015
    “…In this work, we will develop a robust classification model that can be utilized in cancer diagnosis using immunofingerprint data. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  2. 2
    Finding an effective classification technique to develop a software team composition model

    Finding an effective classification technique to develop a software team composition model by Gilal, Abdul Rehman, Jaafar, Jafreezal, Capretz, Luiz Fernando, Omar, Mazni, Basri, Shuib, Abdul Aziz, Izzatdin

    Published 2017
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    Finding an effective classification technique to develop a software team composition model

    Finding an effective classification technique to develop a software team composition model by Gilal, A.R., Jaafar, J., Capretz, L.F., Omar, M., Basri, S., Aziz, I.A.

    Published 2018
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  4. 4
    Finding an effective classification technique to develop a software team composition model

    Finding an effective classification technique to develop a software team composition model by Gilal, A.R., Jaafar, J., Capretz, L.F., Omar, M., Basri, S., Aziz, I.A.

    Published 2018
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  5. 5
    Deep learning detector for pests and plant disease recognition

    Deep learning detector for pests and plant disease recognition by Ileladewa, Oluwatimilehin Adekunle

    Published 2020
    “…Meanwhile, evolution in deep convolutional neural networks for image classification has rapidly improved the accuracy of object detection, classification and system recognition. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
    Save to List
    Saved in:
  6. 6
    Y-type Random 2-satisfiability In Discrete Hopfield Neural Network

    Y-type Random 2-satisfiability In Discrete Hopfield Neural Network by Guo, Yueling

    Published 2024
    “…Finally, a new logic mining model namely Y-Type Random 2-Satisfiability Reverse Analysis was proposed, which showed optimal performances in terms of several metrics as compared to the existing classification models. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    Class binarization with self-adaptive algorithm to improve human activity recognition

    Class binarization with self-adaptive algorithm to improve human activity recognition by Zainudin, Muhammad Noorazlan Shah

    Published 2018
    “…However, the learning complexity of classification is increased due to the expansion number of learning model. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  8. 8
    Digital economy tax compliance model in Malaysia using machine learning approach

    Digital economy tax compliance model in Malaysia using machine learning approach by Raja Azhan Syah Raja Wahab, Azuraliza Abu Bakar

    Published 2021
    “…The experimental results show that the ensemble method can improve the single classification model’s accuracy with the highest classification accuracy of 87.94% compared to the best single classification model. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Stock market turning points rule-based prediction / Lersak Photong … [et al.]

    Stock market turning points rule-based prediction / Lersak Photong … [et al.] by Photong, Lersak, Sukprasert, Anupong, Boonlua, Sutana, Ampant, Pravi

    Published 2021
    “…Feature selection was used to sort out key features for further classification. News classification into factors affecting stock market turning point was done using Naïve Bayes, Deep Learning, Generalized Linear Model (GLM) and Support Vector Machine (SVM). …”
    Get full text
    Get full text
    Book Section
    Save to List
    Saved in:
  10. 10
    Classification with degree of importance of attributes for stock market data mining

    Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

    Published 2004
    “…The SVM is a training algorithm for learning classification and regression rules from data [7]. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    ios Mobile Malware Deep Analysis And Classification For Social Media And Online Banking Exploitation

    ios Mobile Malware Deep Analysis And Classification For Social Media And Online Banking Exploitation by Muhammad ‘Afif Bin Husainiamer

    Published 2024
    thesis::master thesis
    Save to List
    Saved in:
  12. 12
    Diagnosis of voice disorders using band energy spectrum in wavelet domain

    Diagnosis of voice disorders using band energy spectrum in wavelet domain by Murugesa Pandiyan, Paulraj, Prof. Madya Dr, Sazali, Yaacob, Prof. Dr., Muthusamy, Hariharan, Dr.

    Published 2011
    Get full text
    Working Paper
    Save to List
    Saved in:
  13. 13
    Ios Mobile Malware Analysis: A State-of-the-art

    Ios Mobile Malware Analysis: A State-of-the-art by Madihah Mohd Saudi, Azuan Ahmad, Muhammad Afif Husainiamer, Mohd Yamani Idna Idris

    Published 2024
    journal::journal article
    Save to List
    Saved in:
  14. 14
    Application of data mining techniques for economic evaluation of air pollution impact and control

    Application of data mining techniques for economic evaluation of air pollution impact and control by Lukman, Iing

    Published 2007
    “…The formula or equation model of urban SO2 concentration was also found through the GMDH algorithms. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  15. 15
    Urban green space spatio-temporal change influences on land surface temperature in Kuala Lumpur, Malaysia

    Urban green space spatio-temporal change influences on land surface temperature in Kuala Lumpur, Malaysia by Abu Kasim, Junainah

    Published 2020
    “…Thirdly, to develop an automated spatial prediction model that could potentially predict the UGS changes and their effect on the LST pattern. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: