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Showing 1 - 6 results of 6 for search '(( binary data code optimization algorithm ) OR ( laboratory based model optimization algorithm ))*', query time: 0.10s Refine Results
  1. 1
    Particle swarm optimization approach for protein structure prediction in the 3D HP model

    Particle swarm optimization approach for protein structure prediction in the 3D HP model by Mansour, Nashat

    Published 2012
    “…In this paper, we present a particle swarm optimization (PSO) based algorithm for predicting protein structures in the 3D hydrophobic polar model. …”
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  2. 2
    AI-based remaining useful life prediction and modelling of seawater desalination membranes

    AI-based remaining useful life prediction and modelling of seawater desalination membranes by Al Ali, Fajer

    Published 2024
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    doctoralThesis
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  3. 3
    Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy

    Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy by Haitao Xu (435549)

    Published 2023
    “…Adjusting the weight and bias of the ANN model using an optimization algorithm is known as the training process. …”
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  4. 4
    Design Optimization of Inductive Power Transfer Systems Considering Bifurcation and Equivalent AC Resistance for Spiral Coils

    Design Optimization of Inductive Power Transfer Systems Considering Bifurcation and Equivalent AC Resistance for Spiral Coils by Alireza Namadmalan (16864236)

    Published 2020
    “…Based on the proposed algorithm, several IPT systems are optimized in MATLAB software using Genetic Algorithm (GA). …”
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  5. 5
    Protein structure prediction in the 3D HP model

    Protein structure prediction in the 3D HP model by Abu-Khzam, Faisal

    Published 2009
    “…In this paper, we present a Particle Swarm Optimization (PSO) based algorithm for predicting protein structures in the 3D HP model. …”
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  6. 6
    Machine learning approach for the classification of corn seed using hybrid features

    Machine learning approach for the classification of corn seed using hybrid features by Aqib Ali (19680145)

    Published 2020
    “…For each corn seed image, a total of fifty-five hybrid-features was acquired on every non-overlapping region of interest (ROI), sizes (75 × 75), (100 × 100), (125 × 125) and (150 × 150). The nine optimized features have been acquired by employing the correlation-based feature selection (CFS) technique with the Best First search algorithm. …”
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