Search Results - machine ((((loading programmes) OR (learning programme))) OR (training programmes))

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    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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    Article
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    Forecasting load demand using artificial neural network (ANN) / Alias Khamis by Khamis, Alias

    Published 2002
    “…Recently, Artificial Neural Network is widely used in intelligent computational technology for data compression, pattern recognition and machine learning. This paper presents the development of artificial neural network (ANN) using Back-propagation to forecast the load demand at Maintenance Building at UiTM Shah Alam campus. …”
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    Thesis
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    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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    Conference or Workshop Item
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    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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    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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    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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    Compressive Properties of Carbon Fibre Reinforced Plastic (CFRP) at Low Strain Rate by Ahmad, Roslan, Mohd Ripin, Zaidi, Pasricha, M. S.

    Published 2001
    “…Axial and hoop strains were measured by foil strain gauges bonded to the specimen inside and outside surfaces. Load-displacement, load time and strain-time signals recorded during relevant tests are used to produce stresss train curves. …”
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    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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    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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    Conference or Workshop Item
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    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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    Book Section
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    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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    Proceeding Paper
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    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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    Conference or Workshop Item
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    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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