Search Results - machine learning programme

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

“…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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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.

“…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…”

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

Design and development of deep learning convolutional neural network on an field programmable gate array. by Wong, Yan Chiew, Lee, Yan Qing

“…This paper presents the design and development of Convolutional Neural Network on Field Programmable Gate Array. In the recent work of deep learning Convolutional Neural Network, CNN is a challenging research area in both software and hardware implementation. …”
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Design prototype of prepaid water dispenser by Sarudin Rohseli

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Design a mixer for grain materials by Mohd Hisyam Ismail

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Hardware Implementation of Intelligent Traffic Light Controller by Noorrashikin Jaafar

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Machine Learning (ML) assisted Edge security framework on FPGAs by Sheikh, Abdul Manan, Islam, Md. Rafiqul, Habaebi, Mohamed Hadi, Ahmad Zabidi, Suriza, Najeeb, Athaur Rahman, Basahel, Ahmed

“…Also, Field Programmable Gate Arrays (FPGAs) can exploit Physical Unclonable Functions (PUFs) characteristics to generate and store authentication keys. …”
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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

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Maqasid Syariah-based Ethics In Law And Syariah Programmes In Higher Education: Guarding Emerging Technology by Syahirah Abdul Shukor, Noor Dzuhaidah Osman, Muhammad Iqbal Juliansyahzen

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

“…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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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

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

“…Due to the fact that multimedia plays a vital part in the way people communicates with machines and its environment, this project has taken the initiative of applying the multimedia concept in its learning package. …”
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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

“…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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Newly modified tensile test fixture / Mohd. Farriz Baharulrazi, Farah Hani Mohamad Alli and Rosmaria Abd. Hamid by Baharulrazi, Mohd. Farriz, Mohamad Alli, Farah Hani, Abd. Hamid, Rosmaria

“…The educational tensile test fixture with the jack system is shown in picture 2(a) and the complete assembled of newly modified screw gear system is shown in picture 2(b). In addition, we learned how to use lathe machine which was used to make threads and gears. …”
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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

“…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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Development Of Glycol Skid Unit Controller Using PLC by Abdul Manaf, Mohd Nadirul Azwan

“…The purpose of this project was to introduce an activity of using the ladder diagrams on the learning of programmable logic controller (PLC). Unlike generalpurpose computers, the PLC is designed for multiple inputs and output arrangements, and resistance to vibration and electrical noise. …”
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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

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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

“…In the realm of English language learning, however, research and theories have pointed to the importance of learner factors and their motivation for language learning. …”
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Forecasting load demand using artificial neural network (ANN) / Alias Khamis by Khamis, Alias

“…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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