Showing 1 - 13 results of 13 for search '(( laboratory data work optimization algorithm ) OR ( binary game _ optimization algorithm ))', query time: 0.46s Refine Results
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    Data-Driven Development of Heterogeneous Catalysts for Propane Dehydrogenation with Machine Learning and Metaheuristic Optimization by Jungmok Oh (14117464)

    Published 2024
    “…This paper presents a hybrid framework that combines ML models with a metaheuristic optimization algorithm, to explore improved heterogeneous catalysts for propane dehydrogenation (PDH). …”
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    Data-Driven Development of Heterogeneous Catalysts for Propane Dehydrogenation with Machine Learning and Metaheuristic Optimization by Jungmok Oh (14117464)

    Published 2024
    “…This paper presents a hybrid framework that combines ML models with a metaheuristic optimization algorithm, to explore improved heterogeneous catalysts for propane dehydrogenation (PDH). …”
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    Anonymized data. by Michael Bonert (3751348)

    Published 2024
    “…All brain surgical pathology cases accessioned from 2011–2020 were retrieved from a regional laboratory. Specimens were classified by neuroanatomical location, diagnostic category, and diagnosis with a hierarchical free text string-matching algorithm. …”
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    Biomarkers and neuroanatomical sites. by Michael Bonert (3751348)

    Published 2024
    “…All brain surgical pathology cases accessioned from 2011–2020 were retrieved from a regional laboratory. Specimens were classified by neuroanatomical location, diagnostic category, and diagnosis with a hierarchical free text string-matching algorithm. …”
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    All tables and figures. by Michael Bonert (3751348)

    Published 2024
    “…All brain surgical pathology cases accessioned from 2011–2020 were retrieved from a regional laboratory. Specimens were classified by neuroanatomical location, diagnostic category, and diagnosis with a hierarchical free text string-matching algorithm. …”
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    Biomarkers and cancer subtype. by Michael Bonert (3751348)

    Published 2024
    “…All brain surgical pathology cases accessioned from 2011–2020 were retrieved from a regional laboratory. Specimens were classified by neuroanatomical location, diagnostic category, and diagnosis with a hierarchical free text string-matching algorithm. …”
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    Selected lung biomarkers. by Michael Bonert (3751348)

    Published 2024
    “…All brain surgical pathology cases accessioned from 2011–2020 were retrieved from a regional laboratory. Specimens were classified by neuroanatomical location, diagnostic category, and diagnosis with a hierarchical free text string-matching algorithm. …”
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    Video-to-Model Data Set by Sönke Knoch (8616117)

    Published 2020
    “…<div>This data set belongs to the paper "Video-to-Model: Unsupervised Trace Extraction from Videos for Process Discovery and Conformance Checking in Manual Assembly", submitted on March 24, 2020, to the 18th International Conference on Business Process Management (BPM).…”
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    NanoDB: Research Activity Data Management System by Lorenci Gjurgjaj (19702207)

    Published 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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    Image_1_Establishment of a novel lysosomal signature for the diagnosis of gastric cancer with in-vitro and in-situ validation.tif by Qi Wang (22418)

    Published 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. …”
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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) 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.…”