Search Results - (( programming validity prediction algorithm ) OR ( java data normalization algorithm ))

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  1. 1

    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    Published 2019
    “…Even a normal people using clustering to grouping their data. …”
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    Thesis
  2. 2

    System identification using Extended Kalman Filter by Alias, Ahmad Hafizi

    Published 2017
    “…In order to evaluate the performance of the EKF learning algorithm, the proposed algorithm validation were analyzed using model validation methods as a checker such as One Step Ahead (OSA) and correlation coefficient (R2). …”
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    Student Project
  3. 3

    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. …”
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    Final Year Project Report / IMRAD
  4. 4

    SANAsms: Secure short messaging system for secure GSM mobile communication by Anuar, N.B., Azlan, I.M., Wahid, A.W.A., Zakaria, O.

    Published 2008
    “…The system is developed using Java 2 Micro Edition (J2ME) which is written in Java. …”
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    Conference or Workshop Item
  5. 5

    Novice programmers’ emotion and competency assessments using machine learning on physiological data / Fatima Jannat by Fatima, Jannat

    Published 2022
    “…Hyper-parameter tuning has been used in all the algorithms using k-fold cross validation to have the best accuracy and to avoid the over-fitting issue. …”
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    Thesis
  6. 6

    Predicting Student Performance in Object Oriented Programming Using Decision Tree : A Case at Kolej Poly-Tech Mara, Kuantan by Mohd Hanis, Rani, Abdullah, Embong

    Published 2013
    “…Using 10-fold cross validation for each algorithm, it was found that decision tree was the best algorithm with 83.6944% correctness. …”
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    Conference or Workshop Item
  7. 7
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    Mobile app of mood prediction based on menstrual cycle using machine learning algorithm / Nur Hazirah Amir by Amir, Nur Hazirah

    Published 2019
    “…It implemented Supervised Learning algorithm with Bayes’ Theorem model for the calculation of mood prediction using Python programming language. …”
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    Thesis
  9. 9

    Development of a novel natural frequencies prediction tool for laminated composite plates using integrated artificial neural network (ANN) - simulink MATLAB / Mohd Arif Mat Norman by Mat Norman, Mohd Arif

    Published 2024
    “…The study conducted 16 case studies, and the program's predictions were validated using analytical methods and compared to FE modal results. …”
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    Thesis
  10. 10

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…Electing the best set of features will help to improve the classifier predictions in terms of the normal and abnormal pattern. The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. …”
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    Thesis
  11. 11

    Model structure selection for a discrete-time non-linear system using a genetic algorithm by Ahmad, R., Jamaluddin, H., Hussain, M. A.

    Published 2004
    “…The adequacy of the developed models is tested using one-step-ahead prediction and correlation-based model validation tests. …”
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    Article
  12. 12

    Model structure selection for a discrete-time non-linear system using a genetic algorithm by Ahmad, R., Jamaluddin, H., Hussain, M. A.

    Published 2004
    “…The adequacy of the developed models is tested using one-step-ahead prediction and correlation-based model validation tests. …”
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    Article
  13. 13

    Model structure selection for a discrete-time non-linear system using genetic algorithm by Ahmad, Robiah, Jamaluddin , Hishamuddin, Hussain, Mohd. Azlan

    Published 2004
    “…The adequacy of the developed models is tested using one-step-ahead prediction and correlation-based model validation tests. …”
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    Article
  14. 14

    Construction Noise Prediction Using Stochastic Deep Learning by Ooi, Wei Chien

    Published 2022
    “…Ten case studies were conducted in this study to validate the predictive performance of the stochastic deep learning noise prediction model. …”
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    Final Year Project / Dissertation / Thesis
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  16. 16

    Predictive analytic dashboard for desalter and crude distillation unit by Hassanudin, S.N., Aziz, I.A., Jaafar, J., Qaiyum, S., Zubir, W.M.A.M.

    Published 2018
    “…Artificial Neural Network (ANN) algorithm is used with R programming language for the forecasting. …”
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    Article
  17. 17

    Hybrid evolutionarybarnacles mating optimisation-artificial neural network based technique for solving economic power dispatch planning and operation / Nor Laili Ismail by Ismail, Nor Laili

    Published 2024
    “…The third algorithm was validated on IEEE 30-Bus RTS only. Comparative studies were conducted concerning the traditional Evolutionary Programming (EP) and Barnacles Mating Optimiser (BMO) for performance evaluation of HEBMO and MOHEBMO. …”
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    Thesis
  18. 18

    Partial Least Squares (PLS) Integrated Fourier Transform Infrared (FTIR) Approach for Prediction of Moisture in Transformer Oil and Lubricating Oil by Sim, Siong Fong, Amelia Laccy, Jeffrey Kimura

    Published 2019
    “…+e algorithm, validated with 100 training/test splits, was converted into an executable program for prediction of moisture based on FTIR spectra. …”
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    Article
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  20. 20

    Prediction of novel doping agent using an in silico model that integrates chemical, biological and phenotypic data by Jamil, Nurul Amalina

    Published 2016
    “…These models were validated using five-fold cross validation to evaluate their predictive power. …”
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    Student Project