يعرض 1 - 20 نتائج من 25 نتيجة بحث عن '(( primary data production optimization algorithm ) OR ( binary a codon optimization algorithm ))', وقت الاستعلام: 0.56s تنقيح النتائج
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    The robustness test results of the model. حسب Xini Fang (20861990)

    منشور في 2025
    "…Finally, an improved RF model is constructed by optimizing the parameters of the RF algorithm. The data selected is mainly from RESSET/DB, covering the issuance, trading, and rating data of fixed-income products such as bonds, government bonds, and corporate bonds, and provides basic information, net value, position, and performance data of funds. …"
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    Construction process of RF. حسب Xini Fang (20861990)

    منشور في 2025
    "…Finally, an improved RF model is constructed by optimizing the parameters of the RF algorithm. The data selected is mainly from RESSET/DB, covering the issuance, trading, and rating data of fixed-income products such as bonds, government bonds, and corporate bonds, and provides basic information, net value, position, and performance data of funds. …"
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    Data used to drive the Double Layer Carbon Model in the Qinling Mountains. حسب Huiwen Li (17705280)

    منشور في 2024
    "…It relies on comprehensive input data, including initial SOC stocks, climate data, and vegetation production to drive these simulations.…"
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    S2 Data - حسب Musab A. Isak (18824223)

    منشور في 2024
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    S1 Data - حسب Musab A. Isak (18824223)

    منشور في 2024
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    Supporting data for “The role of forest composition heterogeneity on temperate ecosystem carbon dynamic under climate change" حسب Ziyu Lin (9151064)

    منشور في 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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    ECE6379_PSOM.zip حسب Xingpeng Li (11825663)

    منشور في 2021
    "…Optimization algorithms that are commonly used to solve these problems will also be covered including linear programming, mixed-integer linear programming, Lagrange relaxation, dynamic programming, branch and bound, and duality theory.…"
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    Supplementary file 1_Development of a venous thromboembolism risk prediction model for patients with primary membranous nephropathy based on machine learning.docx حسب Lian Li (49049)

    منشور في 2025
    "…Objective<p>This study utilizes real-world data from primary membranous nephropathy (PMN) patients to preliminarily develop a venous thromboembolism (VTE) risk prediction model with machine learning. …"