Search Results - (( variable regression stemming algorithm ) OR ( java application optimisation algorithm ))

  • Showing 1 - 5 results of 5
Refine Results
  1. 1

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
    Get full text
    Get full text
    Get full text
    Article
  2. 2

    Determination of tree stem volume : A case study of Cinnamomum by Noraini Abdullah

    Published 2013
    “…Illustrations and algorithms are incorporated into the procedures. Non-normal and nonlinear data variables are addressed, hence data characterization is presented. …”
    Get full text
    Get full text
    Get full text
    Thesis
  3. 3

    Prospects for basal stem rot disease based on soil apparent electrical conductivity in oil palm plantation by Mohd Husin, Ezrin

    Published 2020
    “…A predicted model using regression was used for both Mg and P to develop a predicted spatial variability map for both soil nutrients with soil ECa as the independent variable. …”
    Get full text
    Get full text
    Thesis
  4. 4

    Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

    Published 2015
    “…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
    Get full text
    Get full text
    Thesis
  5. 5

    Mathvision prototype using predictive analytics / Yuzi Mahmud ... [et al.] by Mahmud, Yuzi, Abdul Razak, Muhd Syahir, Abdul-Rahman, Shuzlina, Hanafiah, Mastura, Suhaimi, Amien Ashraf

    Published 2023
    “…The Multiclass Decision Forest algorithm appeared to be the best predictive model with 95.16% accuracy, as compared to Boosted Decision Tree, Logistic Regression, and Neural Network. …”
    Get full text
    Get full text
    Article