Search Results - machine ((((learning programs) OR (training programme))) OR (learning programme))

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  1. 1
    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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  2. 2
    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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  3. 3
    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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  4. 4
    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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  5. 5
    An overview on common mistakes by students for introduction, basic elements and selection control structure in Fundamentals of Computer Problem Solving (CSC128) course / Naemah Abdul Wahab, Wan Anisha Wan Mohammad and Azlina Mohd Mydin

    An overview on common mistakes by students for introduction, basic elements and selection control structure in Fundamentals of Computer Problem Solving (CSC128) course / Naemah Abd... by Abdul Wahab, Naemah, Wan Mohammad, Wan Anisha, Mohd Mydin, Azlina Mohd Mydin

    Published 2020
    “…According to Robins et. al (2003), they stated that du Boulay (1989) describe five domains that a novice programmers must mastered in learning programming are the general orientation of a program, the notational machine model, the notation of a programming language, programming structures and pragmatics In view of the above research on the key aspects of learning to program, the following section will discuss on the background of computer problem solving course that is offered in our university to a non-major of computer course learners, what are the common mistakes that these novice programmers done according to the first three chapters in our syllabus and a summarisation of suggestion for the learners to ponder.…”
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  6. 6
    A Machine Learning Classification Application to Identify Inefficient Novice Programmers

    A Machine Learning Classification Application to Identify Inefficient Novice Programmers by Khan I., Al-Mamari A., Al-Abdulsalam B., Al-Abdulsalam F., Al-Khansuri M., Iqbal Malik S., Ahmad A.R.

    Published 2023
    “…Data mining; Graphical user interfaces; Learning algorithms; Machine learning; Nearest neighbor search; Academic performance; Application layers; Computer science students; Educational data mining; Educational Institutes; K-near neighbor; Machine learning classification; Nearest-neighbour; Novice programmer; Productive tools; Students…”
    Conference Paper
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  7. 7
    Multimedia package: Learning how to program in C, plus interactive tutorial / Norsuhana Azman

    Multimedia package: Learning how to program in C, plus interactive tutorial / Norsuhana Azman by Norsuhana, Azman

    Published 2003
    “…More over, programming languages such as C is considered an important programmers basic knowledge before moving on to other programming concepts, that makes it suitable to be conveyed as multimedia based learning tool. …”
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  8. 8
    PLC-based water filling machine simulator for teaching and learning activities / Kamaru Adzha Kadiran … [et al.]

    PLC-based water filling machine simulator for teaching and learning activities / Kamaru Adzha Kadiran … [et al.] by Kadiran, Kamaru Adzha, Rifin, Rozi, Hussin, Mohamad Zhafran, Mat Saat, Ezril Hisham

    Published 2023
    “…The Omron PLC-Based Water Filling Machine Simulator has demonstrated remarkable success in enhancing teaching and learning activities in industrial automation. …”
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  9. 9
    PLC-based water filling machine simulator for teaching and learning activities / Kamaru Adzha Kadiran … [et al.]

    PLC-based water filling machine simulator for teaching and learning activities / Kamaru Adzha Kadiran … [et al.] by Kadiran, Kamaru Adzha, Rifin, Rozi, Hussin, Mohamad Zhafran, Mat Saat, Ezril Hisham

    Published 2023
    “…The Omron PLC-Based Water Filling Machine Simulator has demonstrated remarkable success in enhancing teaching and learning activities in industrial automation. …”
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  10. 10
    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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  11. 11
    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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  12. 12
    Hardware Implementation of Intelligent Traffic Light Controller

    Hardware Implementation of Intelligent Traffic Light Controller by Noorrashikin Jaafar

    Published 2008
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  13. 13
    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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  14. 14
    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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  15. 15
    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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  16. 16
    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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  17. 17
    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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  18. 18
    Assessing the potential of laboratory instructional tool through Synthesia AI: a case study on student learning outcome / Jacqueline Joseph

    Assessing the potential of laboratory instructional tool through Synthesia AI: a case study on student learning outcome / Jacqueline Joseph by Joseph, Jacqueline

    Published 2023
    “…Synthesia AI is a cutting-edge technology that revolutionizes students’ immersive learning experience. With its advanced machine learning algorithms, Synthesia AI can generate photorealistic video content featuring virtual actors and presenters that can be programmed to speak in multiple languages, accents, and even emotional tones. …”
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  19. 19
    HELM based Reinforcement Learning for Goal Localization

    HELM based Reinforcement Learning for Goal Localization by AlDahoul, Nouar, Htike@Muhammad Yusof, Zaw Zaw

    Published 2016
    “…Hierarchical Extreme Learning Machine (H-ELM) algorithm was used to find good features for effective representation. …”
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  20. 20
    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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