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optimisation algorithm » optimization algorithms (Expand Search), maximization algorithm (Expand Search), identification algorithm (Expand Search)
process optimisation » process optimization (Expand Search), robust optimisation (Expand Search), process simulation (Expand Search)
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Showing 1 - 4 results of 4 for search '(( binary pairs process optimisation algorithm ) OR ( binary 3d model optimization algorithm ))*', query time: 0.34s Refine Results
  1. 1
    tUbenet Foundation Model Weights

    tUbenet Foundation Model Weights by Natalie Holroyd (7099391)

    Published 2025
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  2. 2
    Scheduling method for pairing night-shift and morning-shift duties on metro lines with complex structure

    Scheduling method for pairing night-shift and morning-shift duties on metro lines with complex structure by Zixuan Zhu (4224532)

    Published 2022
    “…To improve the rest time of crews, this paper proposes a binary programming model to optimise the NMDPP. Moreover, a hybrid algorithm combining General Variable Neighbourhood Search (GVNS) with an Assignment Algorithm is designed to find high-quality solutions for this problem. …”
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  3. 3
    Psoas muscle CT radiomics-based machine learning models to predict response to infliximab in patients with Crohn’s disease

    Psoas muscle CT radiomics-based machine learning models to predict response to infliximab in patients with Crohn’s disease by Zhuoyan Chen (12193358)

    Published 2025
    “…<i>Z</i> score standardization and independent sample <i>t</i> test were applied to identify optimal predictive features, which were then utilized in seven ML algorithms for training and validation. …”
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  4. 4
    Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles

    Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles by Soham Savarkar (21811825)

    Published 2025
    “…</p><p dir="ltr">Encoding: Categorical variables such as surface coating and cell type were grouped into logical classes and label-encoded to enable model compatibility.</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…”
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