Search Results - machine ((((loading program) OR (learning programs))) OR (learning programme))

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  1. 1

    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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    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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    Article
  4. 4

    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
  5. 5

    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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    Article
  6. 6

    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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    Thesis
  7. 7

    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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    Book Section
  8. 8

    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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    Book Section
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    Single phase induction motor studies using MATLAB / Izmir Mohd Yatim by Mohd Yatim, Izmir

    Published 2007
    “…Simulation of a single phase induction machine will be performed by M-File programming and Simulink. …”
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    Thesis
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    Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed... by Ayodele B.V., Mustapa S.I., Kanthasamy R., Mohammad N., AlTurki A., Babu T.S.

    Published 2023
    “…Biomass; Catalysis; Digital storage; Gasification; Gaussian distribution; Hydrogen production; Learning algorithms; Lime; Palm oil; Quadratic programming; Regression analysis; Sensitivity analysis; Synthesis gas; Co-gasification; Gaussian process regression; Hydrogen-rich syngas; Machine learning algorithms; Non-linear response; Performance; Quadratic modeling; Renewable energies; Support vectors machine; Syn gas; Support vector machines…”
    Article
  12. 12

    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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    Article
  13. 13

    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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    Proceeding Paper
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    Development Of Glycol Skid Unit Controller Using PLC by Abdul Manaf, Mohd Nadirul Azwan

    Published 2011
    “…Programs to control machine operation are typically stored in non-volatile memory. …”
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    Final Year Project
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    Implementation of Health Monitoring System for Patients using Machine Learning Algorithms by Hariprasad, U.S., UshaSree, R.

    Published 2024
    “…Additionally, to enhance overall equipment effectiveness (OEE), lower electricity costs, and decrease unplanned downtime in manufacturing settings, we created a real-time system leveraging smart systems and machine learning. During testing on a manufacturing blender, this device tracked operational phases and load-balancing conditions well. …”
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    Article
  16. 16

    Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed... by Ayodele, B.V., Mustapa, S.I., Kanthasamy, R., Mohammad, N., AlTurki, A., Babu, T.S.

    Published 2022
    “…Taking advantage of the data generated from the process, this study explores the performance of twelve machine learning algorithms built on the support vector machine (SVM), the Gaussian process regression (GPR), and the non-linear response quadratic model (NLRQM) using Sequential quadratic programming, and the Levenberg-Marquardt algorithms. …”
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    Article
  17. 17

    Harmonic effect between VSI and CSI using PWM control scheme by Muhammad Hifdzan Ilias

    Published 2009
    “…These simulations are implemented in the PSIM program in order to study the harmonics effects. These simulations are implemented by using two types of loads which are RL load and the induction motor fed drive. …”
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    Learning Object
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    Robotics in school: a stem approach for creativity and innovation by Hamzah, Ahmad, Siti Nur Aishah, Mohd Amin, Mohd Razali, Daud, Saifudin, Razali, Nur Aqilah, Othman, Mohd Syakirin, Ramli

    Published 2017
    “…This lesson is not only focussing on learning, it also shows how to design and assemble a machine or a robot. …”
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    Conference or Workshop Item
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    Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed... by Ayodele, B.V., Mustapa, S.I., Kanthasamy, R., Mohammad, N., AlTurki, A., Babu, T.S.

    Published 2022
    “…Taking advantage of the data generated from the process, this study explores the performance of twelve machine learning algorithms built on the support vector machine (SVM), the Gaussian process regression (GPR), and the non-linear response quadratic model (NLRQM) using Sequential quadratic programming, and the Levenberg-Marquardt algorithms. …”
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    Article
  20. 20

    Automatic washing machine control using System Verilog HDL / Nurul Nafishah Safere by Safere, Nurul Nafishah

    Published 2025
    “…This research presents the design and implementation of an advanced automatic washing machine control system utilizing FPGA technology, specifically the Altera DE2-115 development board, programmed with System Verilog HDL. …”
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    Student Project