Search Results - (( programming using growth algorithm ) OR ( java application optimisation algorithm ))

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
  3. 3

    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
  4. 4

    A study on solution of matrix riccati differential equations using ant colony programming and simulink / Mohd Zahurin Mohamed Kamali by Mohamed Kamali, Mohd Zahurin

    Published 2015
    “…In this thesis, we implement the modified ant colony programming (ACP) algorithm for solving the matrix Riccati differential equation (MRDE). …”
    Get full text
    Get full text
    Thesis
  5. 5

    Optimal power flow based on fuzzy linear programming and modified Jaya algorithms by Alzihaymee, Warid Sayel Warid

    Published 2017
    “…The first proposed approach is a multi-objective fuzzy linear programming optimization (MFLP) algorithm to solve the MOOPF problem. …”
    Get full text
    Get full text
    Thesis
  6. 6
  7. 7
  8. 8
  9. 9

    Genetic programming based machine learning in classifying public-private partnerships investor intention / Ahmad Amin ... [et al.] by Amin, Ahmad, Rahmawaty, Rahmawaty, Lautania, Maya Febrianty, Abdul Rahman, Rahayu

    Published 2023
    “…Hence, the purpose of this study is to evaluate the effectiveness of machine learning prediction models in categorizing private investor interest in PPP programs based on Indonesia evidences. The PPP data was analyzed in this study using two machine learning approaches, Genetic Programming and conventional machine learning, with testing results showing that all machine learning algorithms from both approaches achieved high accuracy rates of over 80%, with the Genetic Programming machine learning outperformed the conventional approach. …”
    Get full text
    Get full text
    Get full text
    Article
  10. 10

    Performance evaluation of direction of arrival (DOA) for linear array antenna design using multiple signal classification (MUSIC) algorithm in variation of displacement vectors and... by Hamzah, Norhayati

    Published 2007
    “…The algorithm have been implemented in MATLAB software and a program was developed to investigate the power spectrum of a fixed samples, 100 with the number of elements 15 with the existence of noise. …”
    Get full text
    Get full text
    Thesis
  11. 11

    Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining. by Saeed, Walid

    Published 2005
    “…The accuracy for rules and classification resulted from the TIP method are compared with other methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) from Rough Set, Genetic Algorithm (GA), Johnson reducer, HoltelR method, Multiple Regression (MR), Neural Network (NN), Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5); all other classifiers that are mostly used in the classification tasks. …”
    Get full text
    Get full text
    Thesis
  12. 12

    Poverty Classification of Central Perak Population Using Machine Learning by P.Rajendran, Kumaran

    Published 2019
    “…In this study, back propagation algorithm and other machine learning algorithm will be used to build models via anaconda using python programming language that can classify each poor household appropriate their poverty status. …”
    Get full text
    Get full text
    Final Year Project
  13. 13

    Chaotic mutation immune evolutionary programming for photovoltaic planning in power system / Sharifah Azma Syed Mustaffa by Syed Mustaffa, Sharifah Azma

    Published 2020
    “…Finally, the proposed CMIEP was used as the algorithm for DGPV location and sizing with the existence of line outage contingency and generator outage contingency. …”
    Get full text
    Get full text
    Thesis
  14. 14

    Energy Management System For Controlling Series Hybrid Electric Motorcycle by Cham , Chin Long

    Published 2016
    “…The characteristics identified from the dynamic programming were then used for the formulation of the energy management system. …”
    Get full text
    Get full text
    Thesis
  15. 15

    Back propagation neural network approach for churn prediction: a case study in Celcom (M) Berhad / Hapida Husin by Husin, Hapida

    Published 2008
    “…The data has been chunk into a few series to determine the significant variables for predicting churn. Computer program were written in Matlab to implement the training and testing programs for the ANN algorithms. …”
    Get full text
    Get full text
    Thesis
  16. 16
  17. 17
  18. 18

    Computational study of cobalt oxide: Nanoparticles, surfaces and thin films supported on metal oxide surfaces / Ala’ Omar Hasan Zayed by Ala’ Omar , Hasan Zayed

    Published 2018
    “…In this study, investigation of the structural, energetic, electronic, and magnetic properties of several forms of cobalt oxides as clusters, films and surfaces had been carried out. Besides using our genetic algorithm code called Universal Genetic Algorithm (UGA) combined with DFT calculations to find the global and local energy minimum structures of (CoO)n (n = 3 − 7) clusters, we have also extended the search space to (CoO)nq (n = 3−10, q = 0, +1) clusters by another code of ours, the Modified Basin-Hopping Monte Carlo Algorithm (MBHMC) program, accompanied by accurate DFT calculations. …”
    Get full text
    Get full text
    Get full text
    Thesis
  19. 19

    Cognitive selection mechanism performance in IEEE 802.11 WLAN by Hashim, Wahidah, Ismail, Ahmad Fadzil, Ghafar, Nadratul, Dzulkifly, Sumayyah

    Published 2013
    “…A heuristic selection model was developed namely Evaluative AP Selection which used LINUX Bash script programming whilst the internet connection speed test was ran by means of PHP script. …”
    Get full text
    Get full text
    Get full text
    Article
  20. 20