Search Results - (( model validation index algorithm ) OR ( based construction based algorithm ))*

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  1. 1

    Time series modeling of water level at Sulaiman Station, Klang River, Malaysia by Galavi, Hadi

    Published 2010
    “…Among the several structures of ANFIS model examined, the model with four membership functions for the model inputs and output, Guassian membership function for the fuzzification, four rules for the fuzzy inference engine, and trained using hybrid algorithm was selected as the best constructed ANFIS model. …”
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    Thesis
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    Objective assessment of psoriasis lesion thickness for PASI scoring 3D digital imaging by Hurriyatul , Fitriyah, Ahmad Fadzil, M Hani

    Published 2010
    “…Validation on lesion base construction is performed using twelve body curvature models and show good result with coefficient of determinant (R2) is equal to 1.…”
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    Citation Index Journal
  3. 3

    Frit-based controller tuning of a dc-dc boost converter by Amirudin, Zulkepli

    Published 2022
    “…Design and simulation analyses using MATLAB software have been conducted for results validation and verification. Furthermore, we formulate the algorithm for determining the optimal controller parameters based on the Model-Free approach. …”
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    Undergraduates Project Papers
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    Integrated examination and analysis model for improving mobile cloud forensic investigation by Alnajjar, Ibrahim Ali Mohammad

    Published 2022
    “…The proposed model effectively validates MCI and enhances the accuracy and speed of the investigation. …”
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    Thesis
  5. 5

    Modeling financial environments using geometric fractional Brownian motion model with long memory stochastic volatility by Al Haqyan, Mohammed Kamel Mohammed

    Published 2018
    “…Subsequently, two theorems on existence and uniqueness of the solution for the new model and its generalisation are constructed. The validation of the developed model was then carried out by comparing with other models in forecasting adjusted prices of Standard and Poor 500, Shanghai Stock Exchange Composite Index, and FTSE Kuala Lumpur Composite Index. …”
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    Thesis
  6. 6

    Spatial Data Mining Model For Landfill Sites Suitability Mapping Based On Neural Networks And Multivariate Analysis by Abujayyab, Sohaib K. M.

    Published 2017
    “…A case study on landfill site selection in four northern states of Malaysia was conducted to demonstrate the validity of the new SDM model. A total of 31 criteria were pre-processed to establish the input dataset for NN modeling. …”
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    Thesis
  7. 7

    Load shedding scheme for islanded distribution network with flexible load selection and power changes / Ja’far Saifeddin Abdelhafiz Jallad by Ja’far Saifeddin , Abdelhafiz Jallad

    Published 2018
    “…Taking into account the time execution, the artificial neural network (ANN) model was constructed based on the daily load plots. …”
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    Thesis
  8. 8

    Determining gender differential item functioning for mathematics in coeducational school culture by Shanmugam, S. Kanageswari Suppiah

    Published 2018
    “…Content validity was established by constructing a table of specifications. By employing the software WINSTEPS version 3.67.0 that is based on the Rasch Model for dichotomous responses, Differential Item Functioning analysis was conducted by using Mantel-Haenszel Chi-square method. …”
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    Article
  9. 9

    Empirical analysis and optimization suggestions of Peking Opera audience's use intention of Kuaishou app by Shixia, Yang, Alexander, Chelum

    Published 2026
    “…Based on the above conclusions, 12 practical suggestions are put forward from four dimensions, namely "optimization of operational convenience", "innovation of platform functions", "deepening of cultural identity" and "differentiated operation", with detailed specific implementation measures provided. …”
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    Article
  10. 10

    Validation on 3D surface roughness algorithm for measuring roughness of psoriasis lesion by Ahmad Fadzil, M Hani, Prakasa, Esa, Nugroho, Hermawan, Affandi, Azura Mohd, Hussein, Suraiya Hussein

    Published 2010
    “…The roughness algorithm has been tested to 55 lesion models. From roughness validation result, only 2 models can not be accepted (percentage error is greater than 10%). …”
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    Citation Index Journal
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    Ant system-based feature set partitioning algorithm for classifier ensemble construction by Abdullah, , Ku-Mahamud, Ku Ruhana

    Published 2016
    “…In this study, Ant system-based feature set partitioning algorithm for classifier ensemble construction is proposed.The Ant System Algorithm is used to form an optimal feature set partition of the original training set which represents the number of classifiers.Experiments were carried out to construct several homogeneous classifier ensembles using nearest mean classifier, naive Bayes classifier, k-nearest neighbor and linear discriminant analysis as base classifier and majority voting technique as combiner. …”
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    Article
  13. 13

    Development Of Water Quality Index Prediction Model For Penang Rivers Using Artificial Neural Network by Mohd Hamdan, Eleena Yasmeen

    Published 2021
    “…For ANN prediction model development, four scenarios of the train-validate-test process to minimize model overfitting with 15 hidden nodes based on three built-in algorithms namely Levenberg-Marquart (LM), Bayesian Regularization (BR) and Scaled Conjugate Gradient (SCG) were created. …”
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    Monograph
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    Exploring a Q-learning-based chaotic naked mole rat algorithm for S-box construction and optimization by Kamal Zuhairi, Zamli, Din, Fakhrud, Alhadawi, Hussam S.

    Published 2023
    “…This paper introduces a new variant of the metaheuristic algorithm based on the naked mole rat (NMR) algorithm, called the Q-learning naked mole rat algorithm (QL-NMR), for substitution box construction and optimization. …”
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    Article
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    Ant system-based feature set partitioning algorithm for K-NN and LDA ensembles construction by Abdullah, , Ku-Mahamud, Ku Ruhana

    Published 2015
    “…Experiments were performed on several University California, Irvine datasets to test the performance of the proposed algorithm.Experimental results showed that the proposed algorithm has successfully constructed better classifier ensemble for k-NN and LDA.…”
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    Conference or Workshop Item
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    Finding objects with segmentation strategy based multi robot exploration in unknown environment by Arezoumand, Reza, Mashohor, Syamsiah, Marhaban, Mohammad Hamiruce

    Published 2013
    “…Also the algorithm using segmentation strategy is using frontier base algorithm for exploring divided area. …”
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    Article