Search Results - (( code application bayes algorithm ) OR ( _ relational model algorithm ))*

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  1. 1
    Unravel parking difficulty via relative chain code algorithm / Chan Huey Min

    Unravel parking difficulty via relative chain code algorithm / Chan Huey Min by Chan , Huey Min

    Published 2005
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    Thesis
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  2. 2
    Classifying good and bad websites

    Classifying good and bad websites by Koo, Ee Woon

    Published 2015
    “…The classification process is made easy by using set of features generated from HTML codes. The performance ofthe 21 features were evaluated by using three machine learning techniques: support vector machine (SVM), naIve bayes, and nearest neighbor classifiers. …”
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    Final Year Project Report / IMRAD
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  3. 3
    Detection of SQL injection attack using machine learning

    Detection of SQL injection attack using machine learning by Tung, Tean Thong

    Published 2024
    “…The machine learning algorithms employed in this study encompass Convolutional Neural Networks (CNN), Logistic Regression, Naïve Bayes Classifier, Support Vector Machine, and Random Forest. …”
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    Final Year Project / Dissertation / Thesis
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  4. 4
    Multi-objective pareto ant colony system based algorithm for generator maintenance scheduling

    Multi-objective pareto ant colony system based algorithm for generator maintenance scheduling by Shimailawi, Shatha Abdulhadi Muthana

    Published 2022
    “…Present graph models cannot generate schedule for the multi-objective GMS models while existing Pareto Ant Colony System (PACS) algorithms were not able to consider the two problems separately. …”
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  5. 5
    Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam

    Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam by Asrul, Adam

    Published 2017
    “…The proposed models and NNRW method in this thesis perform at par with the existing related studies of epileptic EEG events classification.…”
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  6. 6
    Artificial neural network model with different backpropagation algorithms and meteorological data for solar radiation prediction

    Artificial neural network model with different backpropagation algorithms and meteorological data for solar radiation prediction by Heng S.Y., Ridwan W.M., Kumar P., Ahmed A.N., Fai C.M., Birima A.H., El-Shafie A.

    Published 2023
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  7. 7
    Ensemble Dual Recursive Learning Algorithms for Identifying Custom Tanks Flow with Leakage

    Ensemble Dual Recursive Learning Algorithms for Identifying Custom Tanks Flow with Leakage by Akib, Afifi, Saad , Nordin, Asirvadam , Vijanth Sagayan

    Published 2010
    “…This paper proposed that, combination of two algorithms into one learning algorithm for predicting mass flow rate of a flow with leakage resulting in a better mass prediction error as compared to a model with single learning algorithm.…”
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    Conference or Workshop Item
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  8. 8
    Developing a hybrid model for accurate short-term water demand prediction under extreme weather conditions: a case study in Melbourne, Australia

    Developing a hybrid model for accurate short-term water demand prediction under extreme weather conditions: a case study in Melbourne, Australia by Zubaidi S.L., Kumar P., Al-Bugharbee H., Ahmed A.N., Ridha H.M., Mo K.H., El-Shafie A.

    Published 2024
    “…Post-optimization ANN model was trained using eleven different leaning algorithms. …”
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  9. 9
    Ensemble dual recursive learning algorithms for identifying flow with leakage

    Ensemble dual recursive learning algorithms for identifying flow with leakage by Akib, Afifi, Saad , Nordin, Asirvadam , Vijanth Sagayan

    Published 2010
    “…This paper proposed that, combination of two algorithms into one learning algorithm for predicting mass flow rate of a flow with leakage resulting in a better mass prediction error compare to a model with single learning algorithm.…”
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  10. 10
    Constraint preserving mapping algorithm for XML storage

    Constraint preserving mapping algorithm for XML storage by Ahmad, Kamsuriah, Mamat, Ali, Ibrahim, Hamidah, Mohd Noah, Shahrul Azman

    Published 2006
    “…Therefore, how to provide a proper mapping approach from XML model to relational model becomes the major research problem. …”
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  11. 11
    Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster

    Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster by Afan H.A., Yafouz A., Birima A.H., Ahmed A.N., Kisi O., Chaplot B., El-Shafie A.

    Published 2023
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  12. 12
    Phishing image spam classification research trends: Survey and open issues

    Phishing image spam classification research trends: Survey and open issues by John Abari, Ovye, Mohd Sani, Nor Fazlida, Khalid, Fatimah, Mohd Yunus Bin Sharum, Mohd Yunus, Mohd Ariffin, Noor Afiza

    Published 2020
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  13. 13
    Removal of heavy metals from water by functionalized carbon nanotubes with deep eutectic solvents: An artificial neural network approach / Seef Saadi Fiyadh

    Removal of heavy metals from water by functionalized carbon nanotubes with deep eutectic solvents: An artificial neural network approach / Seef Saadi Fiyadh by Seef Saadi , Fiyadh

    Published 2019
    “…The NARX algorithm is used for the modelling of Hg2+ removal. …”
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  14. 14
    Normalized Relational Storage for Extensible Markup Language (XML) Schema

    Normalized Relational Storage for Extensible Markup Language (XML) Schema by Kamsuriah, Ahmad, Reduan, Samad

    Published 2011
    “…Therefore, how to provide a proper mapping approach from XML model to relational model become the major research problems. …”
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  15. 15
    Data mining techniques for disease risk prediction model: A systematic literature review

    Data mining techniques for disease risk prediction model: A systematic literature review by Ahmad W.M.T.W., Ghani N.L.A., Drus S.M.

    Published 2023
    Conference Paper
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  16. 16
    Rainfall-runoff model based on ANN with LM, BR and PSO as learning algorithms

    Rainfall-runoff model based on ANN with LM, BR and PSO as learning algorithms by Mohd Romlay, Muhammad Rabani, Rashid, Muhammad Mahbubur, Toha @ Tohara, Siti Fauziah, Mohd Ibrahim, Azhar

    Published 2019
    “…Rainfall-runoff model requires comprehensive computation as its relation is a complex natural phenomenon. …”
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  17. 17
    Metaheuristic Algorithms and Neural Networks in Hydrology

    Metaheuristic Algorithms and Neural Networks in Hydrology

    Published 2024
    “…This book summarizes the latest research and developments related to the application of nature-inspired metaheuristic algorithms coupled with artificial neural networks (ANNs) in hydrology. …”
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    Book
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  18. 18
    Metaheuristics algorithms to identify nonlinear Hammerstein model: A decade survey

    Metaheuristics algorithms to identify nonlinear Hammerstein model: A decade survey by Jui, Julakha Jahan, Mohd Ashraf, Ahmad, Muhammad Ikram, Mohd Rashid

    Published 2022
    “…This paper presents a survey for the years 2011-2021 on multiple metaheuristics algorithms, particularly swarm and evolutionary algorithms, to identify a nonlinear block-oriented model called the Hammerstein model, mainly because such model has garnered much interest amidst researchers to identify nonlinear systems. …”
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  19. 19
    Rainfall-rinoff model based on ANN with LM, BR and PSO as learning algorithms

    Rainfall-rinoff model based on ANN with LM, BR and PSO as learning algorithms by Mohd Romlay, Muhammad Rabani, Rashid, Muhammad Mahbubur, Toha @ Tohara, Siti Fauziah, Mohd Ibrahim, Azhar

    Published 2019
    “…Rainfall-runoff model requires comprehensive computation as its relation is a complex natural phenomenon. …”
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  20. 20
    Performance comparison of different machine learning algorithms on a time-series of covid-19 data: A case study for Saudi Arabia

    Performance comparison of different machine learning algorithms on a time-series of covid-19 data: A case study for Saudi Arabia by Ahmad, M.T., Qaiyum, S., Alamri, A., Islam, S.

    Published 2021
    “…Several machine learning models and related algorithms were developed for prediction of total cases and total deaths. …”
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