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driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
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Showing 1 - 6 results of 6 for search '(( binary task driven optimization algorithm ) OR ( lens based work optimization algorithm ))', query time: 0.39s Refine Results
  1. 1
    S1 File -

    S1 File - by Michael Bonert (3751348)

    Published 2023
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  2. 2
    S2 File -

    S2 File - by Michael Bonert (3751348)

    Published 2023
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  3. 3
    Clinical history.

    Clinical history. by Michael Bonert (3751348)

    Published 2023
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  4. 4
    Neuroanatomical site overlap.

    Neuroanatomical site overlap. by Michael Bonert (3751348)

    Published 2023
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  5. 5
    Thesis-RAMIS-Figs_Slides

    Thesis-RAMIS-Figs_Slides by Felipe Santibañez-Leal (10967991)

    Published 2024
    “…In the context of facies recovery using simulations, the task of optimal sampling is formalized and addressed using a maximum information extraction criterion. …”
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  6. 6
    <b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043)

    <b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) by Erola Fenollosa (20977421)

    Published 2025
    “…<p dir="ltr">This dataset contains the data used in the article <a href="https://academic.oup.com/aob/advance-article/doi/10.1093/aob/mcaf043/8074229" rel="noreferrer" target="_blank">"Machine Learning and digital Imaging for Spatiotemporal Monitoring of Stress Dynamics in the clonal plant Carpobrotus edulis: Uncovering a Functional Mosaic</a>", which includes the complete set of collected leaf images, image features (predictors) and response variables used to train machine learning regression algorithms.</p><p dir="ltr">Briefly, this is a description of the performed work: Rapid, large-scale monitoring is critical to understanding spatiotemporal plant stress dynamics, but current physiological stress markers are costly, destructive, and time-consuming. …”
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