يعرض 61 - 80 نتائج من 96 نتيجة بحث عن '(( binary task driven optimization algorithm ) OR ( primary data global optimization algorithm ))', وقت الاستعلام: 0.99s تنقيح النتائج
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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.…"
  7. 67

    Transect in parts of California. حسب Qinghua Li (398885)

    منشور في 2024
    "…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …"
  8. 68

    Workflow of COP30DEM deviation correction model. حسب Qinghua Li (398885)

    منشور في 2024
    "…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …"
  9. 69

    Error of models. حسب Qinghua Li (398885)

    منشور في 2024
    "…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …"
  10. 70

    Prediction results of different models. حسب Qinghua Li (398885)

    منشور في 2024
    "…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …"
  11. 71

    Table_1_Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm.pdf حسب Jenish Maharjan (11998331)

    منشور في 2022
    "…</p>Methods<p>A retrospective study was performed using 41,970 qualifying patient encounters with ischemic stroke from inpatient visits recorded from over 700 inpatient and ambulatory care sites. Patient data were extracted from electronic health records and used to train and test a gradient boosted machine learning algorithm (MLA) to predict the patients' risk of experiencing ischemic stroke from the period of 1 day up to 1 year following the patient encounter. …"
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    Image_1_Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm.pdf حسب Jenish Maharjan (11998331)

    منشور في 2022
    "…</p>Methods<p>A retrospective study was performed using 41,970 qualifying patient encounters with ischemic stroke from inpatient visits recorded from over 700 inpatient and ambulatory care sites. Patient data were extracted from electronic health records and used to train and test a gradient boosted machine learning algorithm (MLA) to predict the patients' risk of experiencing ischemic stroke from the period of 1 day up to 1 year following the patient encounter. …"
  13. 73

    Supplementary Material for: The Therapeutic Evaluation of Steroids in IgA Nephropathy Global (TESTING) Study: Trial Design and Baseline Characteristics حسب Wong M.G. (11640685)

    منشور في 2021
    "…The Therapeutic Evaluation of STeroids in IgA Nephropathy Global (TESTING) study was designed to assess the benefits and risks of steroids in people with IgAN. …"
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    Minimal Dateset. حسب Hongwei Yue (574068)

    منشور في 2025
    "…To address this issue, this paper proposes a novel hybrid algorithm—PSO-KM—that integrates Particle Swarm Optimization with K-means to improve both accuracy and computational efficiency in clustering resident profile data. …"
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    Loss Function Comparison. حسب Hongwei Yue (574068)

    منشور في 2025
    "…To address this issue, this paper proposes a novel hybrid algorithm—PSO-KM—that integrates Particle Swarm Optimization with K-means to improve both accuracy and computational efficiency in clustering resident profile data. …"
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    Comparative Results of Different Models. حسب Hongwei Yue (574068)

    منشور في 2025
    "…To address this issue, this paper proposes a novel hybrid algorithm—PSO-KM—that integrates Particle Swarm Optimization with K-means to improve both accuracy and computational efficiency in clustering resident profile data. …"
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    Loss Function Comparison. حسب Hongwei Yue (574068)

    منشور في 2025
    "…To address this issue, this paper proposes a novel hybrid algorithm—PSO-KM—that integrates Particle Swarm Optimization with K-means to improve both accuracy and computational efficiency in clustering resident profile data. …"
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    Overall Framework of the PSO-KM Model. حسب Hongwei Yue (574068)

    منشور في 2025
    "…To address this issue, this paper proposes a novel hybrid algorithm—PSO-KM—that integrates Particle Swarm Optimization with K-means to improve both accuracy and computational efficiency in clustering resident profile data. …"
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    Overall Framework of the PSO-KM Model. حسب Hongwei Yue (574068)

    منشور في 2025
    "…To address this issue, this paper proposes a novel hybrid algorithm—PSO-KM—that integrates Particle Swarm Optimization with K-means to improve both accuracy and computational efficiency in clustering resident profile data. …"
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