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  1. 1
    A NOVEL FORWARD BACKWARD LINEAR PREDICTION ALGORITHM FOR SHORT TERM POWER LOAD FORECAST

    A NOVEL FORWARD BACKWARD LINEAR PREDICTION ALGORITHM FOR SHORT TERM POWER LOAD FORECAST by BAHARUDIN, ZUHAIRI

    Published 2010
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  2. 2
    Classification of Citrus (Rutaceae) by Using Image Processing

    Classification of Citrus (Rutaceae) by Using Image Processing by Najwa Bari'ah Mohd Tabri

    Published 2019
    “…A machine learning algorithms, SVM have been used to build species identification models. …”
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    Undergraduate Final Project Report
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  3. 3
    Enhanced mechanism to handle missing data of Hadith classifier

    Enhanced mechanism to handle missing data of Hadith classifier by Aldhlan, Kawther A., Zeki, Ahmed M., Zeki, Akram M.

    Published 2011
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    Proceeding Paper
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  4. 4
    Brewing perfection: real-time monitoring of arabic coffee using iot and machine learning

    Brewing perfection: real-time monitoring of arabic coffee using iot and machine learning by Abuzaraida, Mustafa Ali, A. L. gaud, Sarah, Abrahim Hneish, Hamza, Attarbashi, Zainab

    Published 2026
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  5. 5
    Unmanned aerial vehicle power estimation with non-polarity charging system

    Unmanned aerial vehicle power estimation with non-polarity charging system by Hadi, Al Obaidi Mohammed Rmaez

    Published 2019
    “…Regarding the results of the wireless monitoring has successfully transferred the power data to the monitoring station. Moreover, BEVF algorithm has successfully reduced the RMS error equal to 1.93 in full discharge analysis between the measurement data and the modeling data in which is tuned to enhance the power modeling.…”
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  6. 6
    A technical framework analysis of digital twin control algorithms for HVAC-BMS Integration and implementation challenges for Malaysian green buildings

    A technical framework analysis of digital twin control algorithms for HVAC-BMS Integration and implementation challenges for Malaysian green buildings by Norazam, Nur Muhamad Afif, Mohd Noh, Hamidun, Ishak, Mohd Hafizal, Zulkefli, Nursyazwani, Jumali, Muhammad Arif, Brown, Jeffery Jep

    Published 2025
    “…While proven effective in temperate regions, its application in tropical climates presents unique challenges, including high humidity, intense solar radiation, and consistently elevated temperatures. …”
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  7. 7
    Trust-aware authentication and authorization for IoT: a federated machine learning approach

    Trust-aware authentication and authorization for IoT: a federated machine learning approach by Ahmed, Kazi Istiaque, Tahir, Mohammad, Lau, Sian Lun, Habaebi, Mohamed Hadi, Ahad, Abdul, Mughees, Amna

    Published 2024
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  8. 8
    Forecasting and tracking of project completion dateline using requirement traceability matrix in scrum

    Forecasting and tracking of project completion dateline using requirement traceability matrix in scrum by Tan, Eng Ian

    Published 2024
    “…A Requirements Traceability Matrix (RTM) will be provided, summarizing the status of all SCRUM projects in a single table. Lastly, the project will implement an estimation model, an algorithm designed to predict the final completion date of SCRUM projects.…”
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    Final Year Project / Dissertation / Thesis
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  9. 9
    Semantic-Based, Scalable, Decentralized and Dynamic Resource Discovery for Internet-Based Distributed System

    Semantic-Based, Scalable, Decentralized and Dynamic Resource Discovery for Internet-Based Distributed System by Hassan, Mahamat. I, Azween, Abdullah

    Published 2010
    “…Ontologies are used as a data model for service description, whereas the services are to accomplish the description process. …”
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  10. 10
    Semantic-Based, Scalable, Decentralized and Dynamic Resource Discovery for Internet-Based Distributed System

    Semantic-Based, Scalable, Decentralized and Dynamic Resource Discovery for Internet-Based Distributed System by HASSAN, MAHAMAT ISSA

    Published 2010
    “…Ontologies are used as a data model for service description, whereas the services are to accomplish the description process. …”
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  11. 11
    Deep learning-based vehicular engine health monitoring system utilising a hybrid convolutional neural network/bidirectional gated recurrent unit

    Deep learning-based vehicular engine health monitoring system utilising a hybrid convolutional neural network/bidirectional gated recurrent unit by Rahim, Md. Abdur, Rahman, Md Mustafizur, Islam, Md. Shofiqul, Md. Muzahid, Abu Jafar, Rahman, Md. Arafatur, D., Ramasamy

    Published 2024
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  12. 12
    Classification models for higher learning scholarship award decisions

    Classification models for higher learning scholarship award decisions by Wirawati Dewi Ahmad, Azuraliza Abu Bakar

    Published 2018
    “…The model that had the highest accuracy rate for ‘Not Eligible’ status of scholarship offered was NB model, whereas SVM model was the weakest model to classify ‘Not Eligible’ status. …”
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  13. 13
    Prediction of tuberculosis cases based on sociodemographic and environmental factors in gombak, Selangor, Malaysia: A comparative assessment of multiple linear regression and artificial neural network models

    Prediction of tuberculosis cases based on sociodemographic and environmental factors in gombak, Selangor, Malaysia: A comparative assessment of multiple linear regression and artif... by Nur Adibah Mohidem, Malina Osman, Farrah Melissa Muharam, Saliza Mohd Elias, Rafiza Shaharudin, Zailina Hashim

    Published 2024
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  14. 14
    Development of machine learning sentiment analyzer and quality classifier (MLSAQC) and its application in analysing hospital patient satisfaction from Facebook reviews in Malaysia

    Development of machine learning sentiment analyzer and quality classifier (MLSAQC) and its application in analysing hospital patient satisfaction from Facebook reviews in Malaysia by A Rahim, Afiq Izzudin

    Published 2022
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  15. 15
    Prediction of Fetal Health Status Using Machine Learning

    Prediction of Fetal Health Status Using Machine Learning by Naidile S, Saragodu, Shreedhara N, Hegde, Harprith, Kaur

    Published 2024
    “…The results of this study demonstrate how machine learning algorithms can accurately forecast fetal health status. …”
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  16. 16
    A Data Mining Approach to Construct Graduates Employability Model in Malaysia

    A Data Mining Approach to Construct Graduates Employability Model in Malaysia by Myzatul Akmam Sapaat, Aida Mustapha, Johanna Ahmad, Khadijah Chamili, Rahamirzam Muhamad

    Published 2024
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  17. 17
    Automated model selection for corporation credit risk assessment using machine learning / Zulkifli Halim

    Automated model selection for corporation credit risk assessment using machine learning / Zulkifli Halim by Halim, Zulkifli

    Published 2023
    “…The samples of the study are the PN17 status companies. Through the automated model selection, 176 models are created across the experiment settings. …”
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  18. 18
    Beyond the classroom: digital language learning in the Malaysian context

    Beyond the classroom: digital language learning in the Malaysian context by Mohd Nadzrin, Nur Amelia, Md Yunus, Melor, Mohd Said, Nur Ehsan

    Published 2024
    “…While proven effective in temperate regions, its application in tropical climates presents unique challenges, including high humidity, intense solar radiation, and consistently elevated temperatures. …”
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  19. 19
    Poverty Classification of Central Perak Population Using Machine Learning

    Poverty Classification of Central Perak Population Using Machine Learning by P.Rajendran, Kumaran

    Published 2019
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    Final Year Project
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  20. 20
    A data mining approach to construct graduates employability model in Malaysia

    A data mining approach to construct graduates employability model in Malaysia by Sapaat, Myzatul Akmam, Mustapha, Aida, Ahmad, Johanna, Chamili, Khadijah, Muhamad, Rahamirzam

    Published 2011
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