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  1. 1
    Study and Implementation of Data Mining in Urban Gardening

    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. …”
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  2. 2
    Sure (EM)-Autometrics: An Automated Model Selection Procedure with Expectation Maximization Algorithm Estimation Method (S/O 14925)

    Sure (EM)-Autometrics: An Automated Model Selection Procedure with Expectation Maximization Algorithm Estimation Method (S/O 14925) by Kamarudin, Nur Azulia

    Published 2021
    “…Hence, the integration of EM algorithm estimation is applicable in improving the performance of automated model selection procedures for multiple equations models…”
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    Monograph
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  3. 3
    Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm

    Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm by Nur Azulia, Kamarudin

    Published 2019
    “…The simulation results indicated that performance of SURE(IFGLS)-Autometrics and SURE(EM)-Autometrics algorithms improved in conditions of large sample, strong correlation among equations, small GUMS, a smaller number of equations, tight significance level and in an empty model (without predictor variables). …”
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  4. 4
    Weather prediction in Kota Kinabalu using linear regressions with multiple variables

    Weather prediction in Kota Kinabalu using linear regressions with multiple variables by Teong, Khan Vun, Chung, Gwo Chin, Jedol Dayou

    Published 2021
    “…The root mean square error is used to compare the performance of the algorithms. …”
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    Proceedings
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  5. 5
    Algorithmic approaches in model selection of the air passengers flows data

    Algorithmic approaches in model selection of the air passengers flows data by Ismail, Suzilah, Yusof, Norhayati, Tuan Muda, Tuan Zalizam

    Published 2015
    “…Algorithm is an important element in any problem solving situation.In statistical modelling strategy, the algorithm provides a step by step process in model building, model testing, choosing the ‘best’ model and even forecasting using the chosen model.Tacit knowledge has contributed to the existence of a huge variability in manual modelling process especially between expert and non-expert modellers.Many algorithms (automated model selection) have been developed to bridge the gap either through single or multiple equation modelling.This study aims to evaluate the forecasting performances of several selected algorithms on air passengers flow data based on Root Mean Square Error (RMSE) and Geometric Root Mean Square Error (GRMSE).The findings show that multiple models selection performed well in one and two step-ahead forecast but was outperformed by single model in three step-ahead forecasts.…”
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  6. 6
    Fuzzy Type-1 Triangular Membership Function Approximation Using Fuzzy C-Means

    Fuzzy Type-1 Triangular Membership Function Approximation Using Fuzzy C-Means by Azam, M.H., Hasan, M.H., Hassan, S., Abdulkadir, S.J.

    Published 2020
    “…Initially, the Fuzzy C-means algorithm is utilized to generate the parameters values of the Gaussian membership function. …”
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  7. 7
    EFFICIENCY IMPROVEMENT OF FLAT PLATE SOLAR COLLECTOR USING SEARCH GROUP ALGORITHM

    EFFICIENCY IMPROVEMENT OF FLAT PLATE SOLAR COLLECTOR USING SEARCH GROUP ALGORITHM by ABD RASHID, NURSABRINA

    Published 2019
    “…The evaluation of collector performance requires the calculation of the absorbed solar radiation and the heat loss to the surroundings. The equations describing these variables are developed in detail in this dissertation and they constitute the model for the collector numerical simulation. …”
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    Final Year Project
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  8. 8
    Model selection approaches of water quality index data

    Model selection approaches of water quality index data by Kamarudin, Nur Azulia, Ismail, Suzilah

    Published 2016
    “…Automatic model selection by using algorithm can avoid huge variability in model specification process compared to manual selection.With the employment of algorithm, the right model selected is then also used for forecasting purposes. …”
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  9. 9
    Web-based expert system for material selection of natural fiber- reinforced polymer composites

    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.…”
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  10. 10
    Feedforward backpropagation, genetic algorithm approaches for predicting reference evapotranspiration

    Feedforward backpropagation, genetic algorithm approaches for predicting reference evapotranspiration by Shafika Sultan Abdullah, M.A., Malek, Namiq Sultan Abdullah, A., Mustapha

    Published 2015
    “…The performance of both simulation models were evaluated using statistical coefficients such as the root of mean squared error (RMSE), mean absolute error (MAE) and coefficient of determination (R2). …”
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  11. 11
    Feedforward backpropagation, genetic algorithm approaches for predicting reference evapotranspiration

    Feedforward backpropagation, genetic algorithm approaches for predicting reference evapotranspiration by Abdullah S.S., Malek M.A., Abdullah N.S., Mustapha A.

    Published 2023
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  12. 12
    Comparison of Conjugate Gradient methods for developing the multiple linear regression model for rubber yield in Malaysia / Anis Shahida Rohimi Ozeman

    Comparison of Conjugate Gradient methods for developing the multiple linear regression model for rubber yield in Malaysia / Anis Shahida Rohimi Ozeman by Rohimi Ozeman, Anis Shahida

    Published 2018
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  13. 13
    Comparing three methods of handling multicollinearity using simulation approach

    Comparing three methods of handling multicollinearity using simulation approach by Adnan, Norliza

    Published 2006
    “…The goal was to develop a linear equation that relates all the predictor variables to a response variable. …”
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  14. 14
    A Comparative Study On Some Methods For Handling Multicollinearity Problems

    A Comparative Study On Some Methods For Handling Multicollinearity Problems by Adnan, Norliza, Ahmad, Maizah Hura, Adnan, Robiah

    Published 2006
    “…The goal was to develop a linear equation that relates all the predictor variables to a response variable. …”
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  15. 15
    A comparative study on some methods for handling multicollinearity problems

    A comparative study on some methods for handling multicollinearity problems by Adnan, Norliza, Ahmad, Maizah Hura, Adnan, Robiah

    Published 2006
    “…The goal was to develop a linear equation that relates all the predictor variables to a response variable. …”
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  16. 16
    Optimal geometric arrangement of unfinned and finned flat tube heat exchangers under laminar forced convection

    Optimal geometric arrangement of unfinned and finned flat tube heat exchangers under laminar forced convection by Tahseen Ahmad, Tahseen

    Published 2014
    “…Finally, the subsequent set of discretization equations was solved with line-by-line method of the tri-diagonal matrix algorithm and the Gauss–Seidel’s procedure. …”
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  17. 17
    Prediction on the mechanical strength of coal ash concrete using artificial neural network

    Prediction on the mechanical strength of coal ash concrete using artificial neural network by Muhammad Nor Syahrul, Zaimi, Nur Farhayu, Ariffin, Sharifah Maszura, Syed Mohsin, Abdul Muiz, Hasim, Nurul Natasha, Nasrudin

    Published 2022
    “…This type of analysis involves one or more independent variables that may most accurately predict the value of the dependent variable and calculates the coefficients of the linear equation. …”
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  18. 18
    Optical soliton perturbation with quadratic-cubic nonlinearity / Mir Asma

    Optical soliton perturbation with quadratic-cubic nonlinearity / Mir Asma by Mir, Asma

    Published 2020
    “…The governing model is the Nonlinear Schrödinger Equation (NLSE). From a mathematical standpoint, NLSE is a nonlinear partial differential equation (PDE) that has been studied in a variety of other areas of Physics and Mathematics. …”
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  19. 19
    DEVELOPMENT AND TESTING OF UNIVERSAL PRESSURE DROP MODELS IN PIPELINES USING ABDUCTIVE AND ARTIFICIAL NEURAL NETWORKS

    DEVELOPMENT AND TESTING OF UNIVERSAL PRESSURE DROP MODELS IN PIPELINES USING ABDUCTIVE AND ARTIFICIAL NEURAL NETWORKS by AYOUB MOHAMMED, MOHAMMED ABDALLA

    Published 2011
    “…Graphical User Interface (GUI) has been generated to help apply the ANN model results while an applicable equation can be used for Group Method of Data Handling model. …”
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  20. 20
    Enhancing obfuscation technique for protecting source code against software reverse engineering

    Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

    Published 2019
    “…The string encryption is about adding a mathematical equation with arrays and loops to the strings in the code to hide the meaning. …”
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