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

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    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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    Mixed integer goal programming model for flexible job shop scheduling problem (FJSSP) with load balancing / Shirley Sinatra Gran by Gran, Shirley Sinatra

    Published 2014
    “…FJSSP allows an operation to be processed by any machine out of a set of alternative machines. Thus, the objectives of this study are to analyze the production schedules and operations of the machines in FJSSP, to construct a load balancing constraint function, to formulate a Mixed Integer Goal Programming (MIGP) model to solve FJSSP with load balancing; and to propose an optimal production job shop scheduling strategies based on the solution model. …”
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    Thesis
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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.

    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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    Scheduling dynamic cellular manufacturing systems in the presence of cost uncertainty using heuristic method by Delgoshaei, Aidin

    Published 2016
    “…While machine broken comes into account, it is found that machine unreliability can cause increasing machine-load variation and strengthen the system imbalance as well. …”
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    Thesis
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    Medium term load forecasting using evolutionary programming-least square support vector machine by Yasin Z.M., Zakaria Z., Razak M.A.A., Aziz N.F.A.

    Published 2023
    “…This paper presents new intelligent-based technique namely Evolutionary Programming- Least-Square Support Vector Machine (EP-LSSVM) to forecast a medium term load demand. …”
    Article
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    Design and development of deep learning convolutional neural network on an field programmable gate array. by Wong, Yan Chiew, Lee, Yan Qing

    Published 2018
    “…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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    Article
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    A new technique for maximum load margin estimation and prediction by Aziz N.F.A., Rahman T.K.A., Yasin Z.M., Zakaria Z.

    Published 2023
    “…This paper presents the application of Fast Artificial Immune System (FAIS) for maximum load margin estimation and hybrid Fast Artificial Immune Support Vector Machine (FAISVM) for maximum load margin prediction. …”
    Article
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    Single phase induction motor studies using MATLAB / Izmir Mohd Yatim by Mohd Yatim, Izmir

    Published 2007
    “…As the load varies, the characteristics of the machine will also vary. …”
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    Thesis
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    Performance improvement through optimal location and sizing of distributed generation / Zuhaila Mat Yasin by Mat Yasin, Zuhaila

    Published 2014
    “…Finally, a novel hybrid Quantum-Inspired Evolutionary Programming - Least-Squares Support Vector Machine (QIEP-SVM) was presented. …”
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    Thesis
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    An evolutionary programming approach to optimize synchronous generator input power using area-based transient stability indexes by Hashim H., Abidin I.Z., Musirin I., Siah Yap K., Omar Y.R., Zulkepali M.R.

    Published 2023
    “…When a power system is subjected to significant transient disturbances, the machine may lose synchronism to the system. If this were to happen, the machine's rotor angle will undergo wide variations, voltage and frequency may deviate widely from normal values. …”
    Article
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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

    Published 2023
    “…Also, Field Programmable Gate Arrays (FPGAs) can exploit Physical Unclonable Functions (PUFs) characteristics to generate and store authentication keys. …”
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    Proceeding Paper
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