Search Results - (( program mass method algorithm ) OR ( java application mining algorithm ))

  • Showing 1 - 18 results of 18
Refine Results
  1. 1
  2. 2
  3. 3

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

    Published 2019
    “…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
    Get full text
    Get full text
    Get full text
    Article
  4. 4

    Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

    Published 2007
    “…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  5. 5

    A web-based implementation of k-means algorithms by Lee, Quan

    Published 2022
    “…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  6. 6
  7. 7

    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
  8. 8

    Modelling of Adsorption of Dyes from Aqueous Solution by Activated Carbon by Wong, Teck Ngin

    Published 2004
    “…A computer program written in FORTRAN 90 is developed. The PDEs for the axial and radial directions are discretised into ODEs using OC method. …”
    Get full text
    Get full text
    Thesis
  9. 9

    Flow regime identification of particles conveying in pneumatic pipeline using electric charge tomography and neural network techniques by Ahmed Sabit, Hakilo

    Published 2006
    “…Data captured for this purpose is in the range of mass flow rates 26 g/s to 204 g/s. A Visual C++ programming language is used to develop an application program to compute the image reconstruction algorithms and display the tomograms which represent the concentration profiles at a measurement crosssection of the pipe. …”
    Get full text
    Get full text
    Thesis
  10. 10
  11. 11

    Detection of Microcalcification Using Mammograms by Md Hasan, Khairul Nisak

    Published 2004
    “…The morphological operation was a simple and suitablemethod in identifying the microcalcification. The top-hat algorithm method that is a morphological operation was developed using MATLAB and successfully obtained the output image that shows the candidate microcalcification. …”
    Get full text
    Get full text
    Final Year Project
  12. 12

    3D hand posture recognition using multicam by Mohd Nazrin , Muhammad, Nurdiana, Nordin

    Published 2011
    “…The availability of the distance data allows the hand posture to be recognized in z-axis direction without complex computational algorithms which also enables the program to work in real-time processing as well as eliminates the background effectively. …”
    Get full text
    Get full text
    Conference or Workshop Item
  13. 13

    Artificial neural network (ANN) modeling & validation to predict compression index of tropical soft soil by Yong, Shirley Xiao Wei

    Published 2010
    “…This study demonstrates the comparison between the conventional estimation of Cc by using Terzaghi’s settlement equation and the predicted Cc from ANN. Therefore, a programming was written by using MATLAB 6.5 and train with eight different training algorithm, namely Resilient Backpropagation (rp), Conjugate Gradient Polak-Ribiére algorithm (cgp), Scale Conjugate Gradient (scg), Levenberg-Marquardt algorithm (lm), BFGS Quasi-Newton (bfg), Conjugate Gradient with Powell/Beale Restarts (cgb), Fletcher-Powell Conjugate Gradient (cgf), and One-step Secant (oss) have been compared for the best prediction of Cc. …”
    Get full text
    Get full text
    Get full text
    Final Year Project Report / IMRAD
  14. 14

    SYSTEMATIC DESIGN ALGORITHM FOR ENERGY EFFICIENT AND COST EFFECTIVE HYDROGEN PRODUCTION FROM PALM WASTE by INAYAT, ABRAR

    Published 2012
    “…However, the existing design methods are limited to allow simultaneous and integrated assessment of process performance, heat efficiency and costs. …”
    Get full text
    Get full text
    Thesis
  15. 15

    A matlab-based graphical user interface (GUI) to predict the food quality during frying process by Siti Nabihah, Othman

    Published 2022
    “…In this study, the colour and moisture content of French fries is studied during deep frying.The colour changes and moisture content were formulated by first order kinetic equation which was numerically solved by using the Runge Kutta fourth order method that was embedded with a parameter fitting technique called as Nelder-Mead algorithm in MATLAB software. …”
    Get full text
    Thesis
  16. 16

    Determination Of Bukit Merah Reservoir Capacity Using Sequential Peak Analysis by Azhani, Aidatul Aznuraini Aidil

    Published 2022
    “…The Sequent Peak Analysis is chosen because it is easy to program, suits with large data and considers evaporation losses compared to other methods which is Mass Curve Method. …”
    Get full text
    Get full text
    Monograph
  17. 17
  18. 18

    Validation of deep convolutional neural network for age estimation in children using mandibular premolars on digital panoramic dental imaging / Norhasmira Mohammad by Mohammad, Norhasmira

    Published 2022
    “…The semi-automated dental staging system developed in this study is based on the Malay children’s population and uses a brain-inspired learning algorithm termed "deep learning". The methodology is comprised of four major steps: image preprocessing, which adheres to the inclusion criteria for panoramic dental radiographs, segmentation, and classification of mandibular premolars according to Demirjian's staging system using the Dynamic Programming-Active Contour (DP-AC) method and Deep Convolutional Neural Network (DCNN), respectively, and statistical analysis. …”
    Get full text
    Get full text
    Thesis