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  1. 1
    Development Of Machine Learning User Interface For Pump Diagnostics

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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  2. 2
    Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform

    Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform by Alias, Norma, Satam, Noriza, Abd. Ghaffar, Zarith Safiza, Darwis, Roziha, Hamzah, Norhafiza, Islam, Md. Rajibul

    Published 2009
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  3. 3
    Mobile application for real time baby sign language recognition using YOLOv8 / Siti Aishah Idris and Ahmad Firdaus Ahmad Fadzil

    Mobile application for real time baby sign language recognition using YOLOv8 / Siti Aishah Idris and Ahmad Firdaus Ahmad Fadzil by Idris, Siti Aishah, Ahmad Fadzil, Ahmad Firdaus

    Published 2024
    “…The model will be designed and developed using a deep learning algorithm, which is YOLOv8, the latest version of YOLO. …”
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  4. 4
    Perovskite lattice constant prediction framework using optimized artificial neural network and fuzzy logic models by metaheuristic algorithms

    Perovskite lattice constant prediction framework using optimized artificial neural network and fuzzy logic models by metaheuristic algorithms by Bouzateur, Inas, Ouali, Mohammed Assam, Bennacer, Hamza, Ladjal, Mohamed, Khmaissia, Fadoua, Rahman, Mohd Amiruddin Abd, Boukortt, Abdelkader

    Published 2023
    “…Although the PSO-Fuzzy model has the best performance of all the compared models, the developed PSO-ANN based model possesses the advantage of easy implementation in addition to its moderate performance.…”
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  5. 5
    Validation of combine white noise using simulated data

    Validation of combine white noise using simulated data by Agboluaje, Ayodele Abraham, Ismail, Suzilah, Chee, Yin Yip

    Published 2016
    “…The same generated EGARCH data are transformed to obtain CWN data and VAR data for the estimation of CWN and VAR.Each CWN results outperformed every result of the existing models.These results confirm that CWN is the appropriate model for estimation.The CWN model fit best in the transformed 200 sample sizes of EGARCH generated data with moderate leverage and moderate skewness. …”
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  6. 6
    A Predictive Classification Model For Running Injury

    A Predictive Classification Model For Running Injury by Ganesan, Devesh Raj

    Published 2022
    “…Studies have yet to develop a good predictive classification model for running injury. …”
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  7. 7
    Design of Improved Stream Cipher Algorithms for GSM Communication

    Design of Improved Stream Cipher Algorithms for GSM Communication by Nur Hafiza Zakaria

    Published 2024
    thesis::master thesis
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  8. 8
    Development of generic algorithm in wheel-typed hybrid rocket grain design for performance estimation

    Development of generic algorithm in wheel-typed hybrid rocket grain design for performance estimation by Kafafy, Raed, Azami, Muhammad Hanafi, Idres, Moumen, Zaharim, Azami, Sopian, Kamaruzaman

    Published 2012
    “…To investigate the characteristics of hybrid rocket performance we develop generic algorithm code. This script may serve as a valuable teaching resource in hybrid rocket motor design. …”
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  9. 9
    Development of nonlinear model for continuous stirred tank reactor (CSTR)

    Development of nonlinear model for continuous stirred tank reactor (CSTR) by Mohamad Ikwan, Zakaria

    Published 2010
    “…As a conclusion,the suitable nonlinear model for CSTR system has been developed and analysis shown the compatibility of the model with experimental result.…”
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    Undergraduates Project Papers
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  10. 10
    Robust backpropagation neural network using date palm seed growth algorithm for stock market prediction

    Robust backpropagation neural network using date palm seed growth algorithm for stock market prediction by Tengku Nurul Aimi Balqis, Tengku Malim Busu

    Published 2025
    “…Results from simulated analysis shows that the new model performed well at all levels of data contamination with configuration moderate lags input and lowest hidden nodes. …”
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  11. 11
    Examining leadership style and ethical reasoning in Nigeria public sector

    Examining leadership style and ethical reasoning in Nigeria public sector by Felix, Chikelu Okey

    Published 2016
    “…Findings also showed that the relationship between transformational leadership and post conventional cognitive moral development was found to be significantly moderated by religiosity commitment and vertical individualism and collectivism. …”
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  12. 12
    Analysis of Traffic Accident Patterns Using Association Rule Mining

    Analysis of Traffic Accident Patterns Using Association Rule Mining by Yudy, Pranata, Tri Basuki, Kurniawan, Edi Surya, Negara, Ahmad Haidar, Mirza

    Published 2024
    “…The processed rules can be a foundation for developing predictive models or decision-making tools to mitigate accident risks. …”
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  13. 13
    Using genetic algorithms to optimise land use suitability

    Using genetic algorithms to optimise land use suitability by Pormanafi, Saeid

    Published 2012
    “…In this study, under environmentfriendliness objective, based on multi-agent genetic algorithms, was developed a geospatial model for the land use allocation. …”
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  14. 14
    Development of noise induced hearing loss prediction model using artificial neural network / Siti Fairus Mohd Zain

    Development of noise induced hearing loss prediction model using artificial neural network / Siti Fairus Mohd Zain by Mohd Zain, Siti Fairus

    Published 2019
    “…It also embedded with 10 hidden layers in the prediction models using Levenberg-Marquardt algorithm as a transfer function from input vectors to the five binary outputs. …”
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  15. 15
    Hybrid neural network in medicolegal degree of injury determination based on Visum et Repertum

    Hybrid neural network in medicolegal degree of injury determination based on Visum et Repertum by Wardhana, Mohammad Hadyan

    Published 2023
    “…The purpose of this study is to identify the characteristics and terms, develop and evaluate the Hybrid Neural Network Model (HNNM) for determining degree of injury based on Visum et Repertum (VeR) data. …”
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  16. 16
    What drives Chinese youth to use fitness-related health information on social media? an analysis of intrinsic needs, social media algorithms, and source credibility

    What drives Chinese youth to use fitness-related health information on social media? an analysis of intrinsic needs, social media algorithms, and source credibility by Zhang, Xin, Tang, Qing Qing, Cai, Ying Ying

    Published 2024
    “…Additionally, social media algorithms moderated the relationship between the need for relatedness and fitness-related health information behavior. …”
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  17. 17
    Moving vehicle noise classification using backpropagation algorithm

    Moving vehicle noise classification using backpropagation algorithm by Norasmadi, Abdul Rahim, Paulraj, Murugesa Pandiyan, Assoc. Prof., Abdul Hamid, Adom, Assoc. Prof. Dr., Sundararaj, Sathishkumar

    Published 2011
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  18. 18
    Benchmarking Robust Machine Learning Models Under Data Imperfections in Real-World Data Science Scenarios

    Benchmarking Robust Machine Learning Models Under Data Imperfections in Real-World Data Science Scenarios by Marlindawati, ., Mohammad, Azhar, Esha, Sabir

    Published 2026
    “…Multiple classical machine learning algorithms and deep learning models were assessed across diverse benchmark datasets. …”
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  19. 19
    GIS-based air quality modelling: spatial prediction of PM10 for Selangor State, Malaysia using machine learning algorithms

    GIS-based air quality modelling: spatial prediction of PM10 for Selangor State, Malaysia using machine learning algorithms by Tella, A., Balogun, A.-L.

    Published 2021
    “…Nevertheless, the two algorithms with the best performance (XGBoost and RF) indicate that a high percentage of the air quality is moderate. …”
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  20. 20
    A cluster analysis of population based cancer registry in Brunei Darussalam : an exploratory study

    A cluster analysis of population based cancer registry in Brunei Darussalam : an exploratory study by Lai, Daphne Teck Ching, Owais A. Malik

    Published 2022
    “…Six distinct demographic subgroups were consistently found by three algorithms while model-based clustering solution were not considered for deeper analysis as highly imbalanced clusters were produced. …”
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