يعرض 1 - 10 نتائج من 10 نتيجة بحث عن '(( laboratory based work optimization algorithm ) OR ( binary game codon optimization algorithm ))', وقت الاستعلام: 1.20s تنقيح النتائج
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    S1 File - حسب Michael Bonert (3751348)

    منشور في 2023
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    S2 File - حسب Michael Bonert (3751348)

    منشور في 2023
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    Genetic diversity among red mombin fruits in the Southwest of Goiás حسب Laísse Danielle Pereira (6301487)

    منشور في 2019
    "…A multivariate analysis was performed estimating the mean Euclidean distance obtained from the provenances, based on the attributes of the fruits analyzed. The measure of similarity and grouping of the provenances were done through the Tocher optimization algorithm and UPGMA dendrogram. …"
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    Video-to-Model Data Set حسب Sönke Knoch (8616117)

    منشور في 2020
    "…The system has been evaluated in a task-based study with ten participants in a laboratory, but under realistic conditions. …"
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    Image_1_Establishment of a novel lysosomal signature for the diagnosis of gastric cancer with in-vitro and in-situ validation.tif حسب Qi Wang (22418)

    منشور في 2023
    "…</p>Methods<p>To this end, this study, by utilizing the transcriptomic as well as single cell data and integrating 20 mainstream machine-learning (ML) algorithms. We optimized an AI-based predictor for GC diagnosis. …"
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    NanoDB: Research Activity Data Management System حسب Lorenci Gjurgjaj (19702207)

    منشور في 2024
    "…<p dir="ltr">NanoDB is a Python-based application developed to optimize the management of experimental data in research settings. …"
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    <b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) حسب Erola Fenollosa (20977421)

    منشور في 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. …"