Showing 221 - 240 results of 10,510 for search '(( elements method algorithm ) OR ((( data using algorithm ) OR ( sample processing algorithm ))))', query time: 0.37s Refine Results
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    Overview of the C&CG method. by Tianhe Sun (21145341)

    Published 2025
    “…The model is solved iteratively using the column generation algorithm and strong duality theory. Case studies on a Northeast China power grid demonstrate that, by optimally configuring generation and storage capacity guided by flexibility and other indicators, the proposed method reduces curtailment/load shedding costs and system flexibility insufficiency probability by 45% and 4.3% respectively. …”
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    Feature selection using Boruta algorithm. by Shayla Naznin (13014015)

    Published 2025
    “…Feature selection was performed using the Boruta algorithm and model performance was evaluated by comparing accuracy, precision, recall, F1 score, MCC, Cohen’s Kappa and AUROC.…”
  13. 233

    Feature selection using the Boruta algorithm. by Guang Tu (22054865)

    Published 2025
    “…</p><p>Methods</p><p>We conducted a retrospective cohort study using data from the MIMIC-IV database, focusing on adult ICU patients with a primary diagnosis of CHD and diabetes. …”
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    Supporting data for “The role of forest composition heterogeneity on temperate ecosystem carbon dynamic under climate change" by Ziyu Lin (9151064)

    Published 2025
    “…The process includes (1) harmonizing Landsat 5, 7, 8, and Sentinel-2 data using the HLS algorithm, and (2) filling temporal gaps with an optimized object-based STARFM fusion algorithm. …”
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    Supporting data for "Using AI-based Deep Learning Algorithms for Nowcasting Cloud Evolution" by Xianqi Jiang (9391832)

    Published 2025
    “…To this end, this study, ''Using AI-based Deep Learning Algorithms for Nowcasting Cloud Evolution'', focuses on using AI-based deep learning algorithms for accurate nowcasting of cloud evolution. …”
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    Validation data sheet. by Xiaoyi Zhou (8603268)

    Published 2024
    “…Secondly, the linear programming algorithm is used to select the specific weight of each collapse sample when the risk is the largest in the interval. …”