Search Results - (( variable reflective learning algorithm ) OR ( java adaptation optimization algorithm ))

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    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

    Published 2017
    “…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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    Thesis
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    Determining malaria risk factors in Abuja, Nigeria using various statistical approaches by Segun, Oguntade Emmanuel

    Published 2018
    “…Based on cross-validation analysis, the score-based algorithm outperformed the constraint-based algorithms in the structural learning. …”
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    Computational Thinking : Experiences of Rural Pupils in Sarawak Primary School by Nur Hasheena, Anuar

    Published 2021
    “…Although the quantitative data does not show promising results, the qualitative data can be used to support the learning experiences and knowledge acquired from the learning activities proposed. …”
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    Thesis
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    Risk perception modeling based on physiological and emotional responses / Ding Huizhe by Ding , Huizhe

    Published 2024
    “…It was demonstrated that the primary results derived from statistical analysis and machine learning modelling were remarkably consistent, thereby confirming the effectiveness and generalization of the proposed weight adjustment algorithm, particularly in situations with closely matched risk levels. …”
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  8. 8

    Anomaly detection of denial-of-service network traffic attacks using autoencoders and isolation forest by Ghulam Hussain, Muhammad Thaqif, Shafeeq Lone, Aman, Maspo, Nur-Adib, Attarbashi, Zainab

    Published 2026
    “…and an accuracy of 6.09%, reflecting the difficulty of modelling complex and highly variable network traffic patterns. …”
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    Evaluation of multiple In Situ and remote sensing system for early detection of Ganoderma boninense infected oil palm by Ahmadi, Seyedeh Parisa

    Published 2018
    “…Various artificial neural network (ANN) architectures were applied to the datasets to verify the proficiency of various combinations of input variables, learning optimization methods and different numbers of neurons on the hidden layer by MATLAB 2014a software. …”
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    Thesis