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  1. 1
    Parallel distributed genetic algorithm development based on microcontrollers framework

    Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

    Published 2023
    Conference paper
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  2. 2
    Efficient radio resource management algorithms for downlink long term evolution networks

    Efficient radio resource management algorithms for downlink long term evolution networks by Mamman, Maharazu

    Published 2018
    “…Our algorithms prolong the battery life by adjusting the base station using initial and final states. …”
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  3. 3
    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions

    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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  4. 4
    Predictive modelling of wind-influenced dynamic fire spread probability in tank farm due to domino effect by integrating numerical simulation with ANN

    Predictive modelling of wind-influenced dynamic fire spread probability in tank farm due to domino effect by integrating numerical simulation with ANN by Malik, Asher Ahmed, Nasif, Mohammad Shakir, Arshad, Ushtar, Mokhtar, Ainul Akmar, Mohd Tohir, Mohd Zahirasri, Al-Waked, Rafat

    Published 2023
    “…An artificial neural network (ANN) incorporating the Levenberg–Marquardt algorithm is used to predict fire spread probability based on numerical data set. …”
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  5. 5
    An Efficient Energy Aware Adaptive System-On-Chip Architecture For Real-Time Video Analytics

    An Efficient Energy Aware Adaptive System-On-Chip Architecture For Real-Time Video Analytics by Ahmed, Hisham Ahmed Ali

    Published 2016
    “…A Performance model for Zynq is developed using analytical method and used in hardware/software codesign to facilitate algorithms mapping to hardware. …”
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