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  1. 1
    Prioritisation Assessment and Robust Predictive System for Medical Equipment: A Comprehensive Strategic Maintenance Management

    Prioritisation Assessment and Robust Predictive System for Medical Equipment: A Comprehensive Strategic Maintenance Management by Aizat Hilmi Zamzam, Ayman Khallel Ibrahim Al-Ani, Ahmad Khairi Abdul Wahab, Khin Wee Lai, Suresh Chandra Satapathy, Azira Khalil, Khairunnisa Hasikin, Muhammad Mokhzaini Azizan

    Published 2024
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  2. 2
    Needs versus wants: comparing job-related and personal needs of non-academic university employees for English language training

    Needs versus wants: comparing job-related and personal needs of non-academic university employees for English language training by Chan, Mei Yuit, Lee, Geok Imm

    Published 2009
    “…In company-sponsored workplace training programmes, training developers have traditionally focused on employees' job-related needs when designing the training curriculum, in line with conventional wisdom in the practice of human resource development. …”
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  3. 3
    A machine learning approach of predicting high potential archers by means of physical fitness indicators

    A machine learning approach of predicting high potential archers by means of physical fitness indicators by Musa, Rabiu Muazu, Anwar, P. P. Abdul Majeed, Zahari, Taha

    Published 2019
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  4. 4
    A machine learning approach of predicting high potential archers by means of physical fitness indicators

    A machine learning approach of predicting high potential archers by means of physical fitness indicators by Muazu Musa, Rabiu, Abdul Majeed, Anwar P.P., Taha, Zahari, Chang, Siow Wee, Ab. Nasir, Ahmad Fakhri, Abdullah, Mohamad Razali

    Published 2019
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  5. 5
    The identification of high potential archers based on relative psychological coping skills variables: a support vector machine approach

    The identification of high potential archers based on relative psychological coping skills variables: a support vector machine approach by Taha, Z., Musa, R.M., Majeed, A.P.P.A, Abdullah, M.R., Zakaria, M.A., Alim, M.M., Jizat, J.A.M., Ibrahim, M.F.

    Published 2018
    “…Support Vector Machine (SVM) has been revealed to be a powerful learning algorithm for classification and prediction. …”
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  6. 6
    Common mistakes in writing basic elements of C++ programming for dummies / Syarifah Adilah Mohamed Yusoff, Rozita Kadar and Saiful Nizam Warris

    Common mistakes in writing basic elements of C++ programming for dummies / Syarifah Adilah Mohamed Yusoff, Rozita Kadar and Saiful Nizam Warris by Mohamed Yusoff, Syarifah Adilah, Kadar, Rozita, Warris, Saiful Nizam

    Published 2020
    “…All of the students are categories as novice programmers due to has no official learning both in programming and computer essential. …”
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  7. 7
    PLC system to optimize training device of upper limb spasticity / Nurul Atiqah Othman...[et al.]

    PLC system to optimize training device of upper limb spasticity / Nurul Atiqah Othman...[et al.] by Othman, Nurul Atiqah, Che Zakaria, Noor Ayuni, Mohd Ramli, Mohd Hanif

    Published 2018
    “…The proposed therapist education training simulator is driven and controlled by Programmable Logic Controller (PLC). …”
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  8. 8
    PLC system to optimize training device of upper limb spasticity

    PLC system to optimize training device of upper limb spasticity by Othman, Nurul Atiqah, Che Zakaria, Noor Ayuni, Mohd Ramli, Mohd Hanif, Hanapiah, Fazah Akhtar, Jingye, Yee, Cheng, Yee Low, Takashi, Komeda

    Published 2018
    “…The proposed therapist education training simulator is driven and controlled by Programmable Logic Controller (PLC). …”
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  9. 9
    The Identification of High Potential Archers Based on Fitness and Motor Ability Variables: A Support Vector Machine Approach

    The Identification of High Potential Archers Based on Fitness and Motor Ability Variables: A Support Vector Machine Approach by Zahari, Taha, Rabiu Muazu, Musa, Anwar, P. P. Abdul Majeed, Muhammad Muaz, Alim, Mohamad Razali, Abdullah

    Published 2018
    “…Support Vector Machine (SVM) has been shown to be an effective learning algorithm for classification and prediction. …”
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  10. 10
    The identification of high potential archers based on relative psychological coping skills variables: A Support Vector Machine approach

    The identification of high potential archers based on relative psychological coping skills variables: A Support Vector Machine approach by Zahari, Taha, Rabiu Muazu, Musa, Anwar, P. P. Abdul Majeed, Mohamad Razali, Abdullah, Muhammad Aizzat, Zakaria, Muhammad Muaz, Alim, Jessnor Arif, Mat Jizat, Mohamad Fauzi, Ibrahim

    Published 2018
    “…Support Vector Machine (SVM) has been revealed to be a powerful learning algorithm for classification and prediction. …”
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  11. 11
    Automatic disease detection of basal stem rot using deep learning and hyperspectral imaging

    Automatic disease detection of basal stem rot using deep learning and hyperspectral imaging by Yong, Lai Zhi, Bejo, Siti Khairunniza, Jahari, Mahirah, Muharam, Farrah Melissa

    Published 2022
    “…The combination of hyperspectral image and machine learning approaches has a high detection potential for BSR. …”
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  12. 12
    The employment of support vector machine to classify high and low performance archers based on bio-physiological variables

    The employment of support vector machine to classify high and low performance archers based on bio-physiological variables by Taha, Z., Musa, R.M., Majeed, A.P.P.A, Abdullah, M.R., Abdullah, M.A., Hassan, M.H.A., Khalil, Z.

    Published 2018
    “…The present study employs a machine learning algorithm namely support vector machine (SVM) to classify high and low potential archers from a collection of biophysiological variables trained on different SVMs. 50 youth archers with the average age and standard deviation of (17.0 +/-.056) gathered from various archery programmes completed a one end shooting score test. …”
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  13. 13
    Classification of high performance archers by means of bio-physiological performance variables via k-nearest neighbour classification model

    Classification of high performance archers by means of bio-physiological performance variables via k-nearest neighbour classification model by Abdullah, Prof. Madya Dr. Mohamad Razali

    Published 2018
    “…The present study classified and predicted high and low potential archers from a set of bio-physiological variables trained via a machine learning technique namely k-Nearest Neighbour (k-NN). 50 youth archers drawn from various archery programmes completed a one end archery shooting score test. …”
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  14. 14
    Manufacturing engineering education in IIUM

    Manufacturing engineering education in IIUM by Ali, Mohammad Yeakub, Amin, A. K. M. Nurul, Haque, Md. Mohafizul

    Published 2007
    “…The faculty is cognizant of emerging technologies such as micro and nano manufacturing and has begun to incorporate in its curriculum. In addition, the programme has also adapted the outcome based learning in producing engineers ready for industry practices in the international scene. …”
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  15. 15
    Artificial Intelligence (AI) to predict dental student academic performance based on pre university results

    Artificial Intelligence (AI) to predict dental student academic performance based on pre university results by Abdullah, Adilah Syahirah, Ahmad Amin, Afifah Munirah, Lestari, Widya, Sukotjo, Cortino, Utomo, Chandra Prasetyo, Ismail, Azlini

    Published 2021
    “…Successful graduation from the Bachelor of Dental Surgery programme is assessed through four Professional Exams. …”
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    Proceeding Paper
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  16. 16
    The employment of Support Vector Machine to classify high and low performance archers based on bio-physiological variables

    The employment of Support Vector Machine to classify high and low performance archers based on bio-physiological variables by Zahari, Taha, Musa, Rabiu Muazu, Anwar, P. P. Abdul Majeed, Mohamad Razali, Abdullah, Muhammad Amirul, Abdullah, M. H. A., Hassan, Zubair, Khalil

    Published 2018
    “…The present study employs a machine learning algorithm namely support vector machine (SVM) to classify high and low potential archers from a collection of bio-physiological variables trained on different SVMs. 50 youth archers with the average age and standard deviation of (17.0 ±.056) gathered from various archery programmes completed a one end shooting score test. …”
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  17. 17
    Deep learning for an automated image-based stem cell classification

    Deep learning for an automated image-based stem cell classification by Nurul Syahira Mohamad Zamani, Hoe, Ernest Yoon Choong, Aqilah Baseri Huddin, Wan Mimi Diyana Wan Zaki, Zariyantey Abd Hamid

    Published 2023
    “…Most of the current software has common drawbacks, such as the expensive operating cost and complex machines. The purpose of this study is to investigate several selected convolutional neural network (CNN) pre-trained models to overcome these constraints for automated CFU classification. …”
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  18. 18
    Novice programmers’ emotion and competency assessments using machine learning on physiological data / Fatima Jannat

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

    Published 2022
    “…This work investigates the suitability and effectiveness of machine learning algorithms such as Multinomial Naive Bayes, KNN, Logistic Regression, Decision Tree for predicting levels of arousal intensity among the programmers and LSTM deep learning algorithm to classify the programmers according to their performance. …”
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    Thesis
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  19. 19
    Prediction of future stock price using Recurrent Neural Network / Nur Izzah Atirah Mohd Ikhram

    Prediction of future stock price using Recurrent Neural Network / Nur Izzah Atirah Mohd Ikhram by Mohd Ikhram, Nur Izzah Atirah

    Published 2022
    “…This study proposed a Recurrent Neural Network (RNN) model that uses a deep learning machine to forecast Malaysian Pacific Industries' (MPI) stock price in the future. …”
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  20. 20
    Classification of high performance archers by means of bio-physiological performance variables via k-nearest neighbour classification model

    Classification of high performance archers by means of bio-physiological performance variables via k-nearest neighbour classification model by Zahari, Taha, Musa, Rabiu Muazu, Anwar, P. P. Abdul Majeed, Mohamad Razali, Abdullah, Ahmad Fakhri, Ab. Nasir, M. H. A., Hassan

    Published 2018
    “…The present study classified and predicted high and low potential archers from a set of bio-physiological variables trained via a machine learning technique namely k-Nearest Neighbour (k-NN). 50 youth archers drawn from various archery programmes completed a one end archery shooting score test. …”
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