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  1. 1
    Study of machine learning in computer vision using Raspberry Pi

    Study of machine learning in computer vision using Raspberry Pi by Chong, Kah Luo

    Published 2024
    text::Final Year Project
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  2. 2
    Using the bees algorithm to optimise a support vector machine for wood defect classification

    Using the bees algorithm to optimise a support vector machine for wood defect classification by Pham, D.T, Muhammad, Zaidi, Mahmuddin, Massudi, Ghanbarzadeh, Afshin, Koc, Ebubekir, Otri, Sameh

    Published 2007
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  3. 3
    Implementation of Space Vector Modulation for Voltage Source Inverter

    Implementation of Space Vector Modulation for Voltage Source Inverter by Sanusi, Syamim, Ibrahim, Zulkifli, Jidin , Auzani, JOPRI, MOHD HATTA, Abdul Karim, Kasrul, Othman, Md Nazri

    Published 2013
    “…A simple method to produce space vector modulation using an algorithm that easy to implement to DSP are develop in this paper. …”
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  4. 4
    Combination of perturb and observe with online sequential extreme learning machine for photovoltaic system maximum power point tracking

    Combination of perturb and observe with online sequential extreme learning machine for photovoltaic system maximum power point tracking by Dira, Yasir Sabah

    Published 2018
    “…From different MPPT techniques previously proposed, the online sequential extreme learning machine algorithm and conventional perturb and observe are combined together as a proposed MPPT algorithm. …”
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  5. 5
    Predicting uniaxial compressive strength using Support Vector Machine algorithm

    Predicting uniaxial compressive strength using Support Vector Machine algorithm by Zakaria, Hafedz, Abdullah, Rini Asnida, Ismail, Amelia Ritahani, Amin, Mohd For

    Published 2019
    “…This paper presents the application of Support Vector Machine (SVM) algorithm to predict the UCS. An algorithm has been tested on a series of rock data using dry density and velocity parameters. …”
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  6. 6
    Building extraction of worldview3 imagery via support vector machine using scikit-learn module / Najihah Ismail

    Building extraction of worldview3 imagery via support vector machine using scikit-learn module / Najihah Ismail by Ismail, Najihah

    Published 2021
    “…However, there is need to monitor the effectiveness of the method used effectively. Consequently, this study is intending to apply Support Vector Machine (SVM) classification which using Scikit-learn module for building classification. …”
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  7. 7
    Investigation of An Early Prediction System of Cardiac Arrest Using Machine Learning Techniques

    Investigation of An Early Prediction System of Cardiac Arrest Using Machine Learning Techniques by Muhammad Afnan, Mohammad Nasir

    Published 2022
    “…Random Forest algorithm be used in this study which is got the best performance with 83% accuracy then the other algorithms in WEKA. …”
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    Undergraduates Project Papers
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  8. 8
    Development of virtual control panel for single spindle configuration 2-axis filament winding machine(SSFWM)

    Development of virtual control panel for single spindle configuration 2-axis filament winding machine(SSFWM) by Vicneswaran, Kuppusamy

    Published 2009
    “…This project is focused on developing the virtual control panel for single spindle configuration 2-axis filament winding machine (SSFWM) using Visual Basic 6.0. The software will interface with MMDS-RTD module Alpha version developed under the RDU070330 research project in Faculty of Electrical & Electronics Engineering, UMP. …”
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  9. 9
    Railway shortest path planner application using ant colony optimization algorithm / Muhammad Hassan Firdaus Ruslan

    Railway shortest path planner application using ant colony optimization algorithm / Muhammad Hassan Firdaus Ruslan by Ruslan, Muhammad Hassan Firdaus

    Published 2017
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  10. 10
    Job position prediction based on skills and experience using machine learning algorithm / Ezaryf Hamdan

    Job position prediction based on skills and experience using machine learning algorithm / Ezaryf Hamdan by Hamdan, Ezaryf

    Published 2024
    “…This paper proposes a sophisticated Job Position Prediction system utilizing Machine Learning algorithms and leveraging data from LinkedIn profiles. …”
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  11. 11
    Prediction of photovoltaic system output using hybrid Cuckoo Search Least Square Support Vector Machine / Muhammad Aidil Adha Aziz

    Prediction of photovoltaic system output using hybrid Cuckoo Search Least Square Support Vector Machine / Muhammad Aidil Adha Aziz by Aziz, Muhammad Aidil Adha

    Published 2019
    “…This thesis presents a practical and reliable approach for the prediction of PV power output using an intelligent-based technique namely Cuckoo Search Algorithm - Least Square Support Vector Machine (CS-LSSVM). …”
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  12. 12
    Artificial immune algorithm based gravimetric fluid dispensing machine

    Artificial immune algorithm based gravimetric fluid dispensing machine by Yap D.F.W., Koh S.P., Tiong S.K., Sim E.Y.S., Yaw M.W.

    Published 2023
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  13. 13
    Machine Learning and Dyslexia-Diagnostic and Classification System (DCS) for Kids with Learning Disabilities

    Machine Learning and Dyslexia-Diagnostic and Classification System (DCS) for Kids with Learning Disabilities by Rehman Ullah, Khan, Julia Ai Cheng, Lee, Oon, Yin Bee

    Published 2018
    “…New generation is the future of every nation, but dyslexia which is a learning disability is spoiling the new generation. Most experts are using manual techniques to diagnose dyslexia. Machine learning algorithms are capable enough to learn the knowledge of experts and intelligently diagnose and classify dyslexics. …”
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  14. 14
    Artificial Immune Algorithm Based Gravimetric Fluid Dispensing Machine

    Artificial Immune Algorithm Based Gravimetric Fluid Dispensing Machine by Yap, David F. W., Koh, S. P., Tiong, S. K., Sim, Edwin Y. S., Yaw, M. W.

    Published 2011
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  15. 15
    Improved personalised data modelling using parameter independent fuzzy weighted k-nearest neighbour for spatio/spectro-temporal data

    Improved personalised data modelling using parameter independent fuzzy weighted k-nearest neighbour for spatio/spectro-temporal data by Abdullah, Mohd Hafizul Afifi

    Published 2021
    “…Upon exploration of the architecture, the weighted k-nearest neighbours algorithm used for the classification module is found to be prone to misclassification as it relies solely on the majority voting rule to determine the class for new data vector. …”
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  16. 16
    FPGA Based Optimized Discontinuous SVPWM Algorithm for Three Phase VSI in AC Drives

    FPGA Based Optimized Discontinuous SVPWM Algorithm for Three Phase VSI in AC Drives by Sutikno, Tole, Nik Idris, Nik Rumzi, Jidin , Auzani, JOPRI, MOHD HATTA

    Published 2013
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  17. 17
    A simulation study of switched reluctance motor (SRM) driven using binary modulated excitation / Samsudin Karsan

    A simulation study of switched reluctance motor (SRM) driven using binary modulated excitation / Samsudin Karsan by Karsan, Samsudin

    Published 2014
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  18. 18
    Software defect prediction framework based on hybrid metaheuristic optimization methods

    Software defect prediction framework based on hybrid metaheuristic optimization methods by Wahono, Romi Satria

    Published 2015
    “…The classification algorithm is a popular machine learning approach for software defect prediction. …”
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  19. 19
    Wireless water quality cloud monitoring system with self-healing algorithm

    Wireless water quality cloud monitoring system with self-healing algorithm by Syed Ariffin, Sharifah Hafizah, Baharudin, Muhammad Ariff, Mohd Fauzi, Mohd Husaini, Abdul Latiff, Nurul Mu'azzah, Syed Yusof, Sharifah Kamilah, Abdul Latiff, Nurul Adilah

    Published 2017
    “…Favoriot is a platform for IoT and machine-to-machine (M2M) development. For this project, Favoriot platform is used for real time data. …”
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  20. 20
    Evaluations of oil palm fresh fruit bunches maturity degree using multiband spectrometer

    Evaluations of oil palm fresh fruit bunches maturity degree using multiband spectrometer by Tuerxun, Adilijiang

    Published 2017
    “…Furthermore, the Lazy-IBK algorithm have been validated to produce the best classifier model, with the machine learning algorithm performance of 65.26%, recall of 65.3%, and 65.4% F-measured as compared to other evaluated machine learning classifier algorithms proposed within the WEKA data mining algorithm. …”
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