يعرض 81 - 100 نتائج من 149 نتيجة بحث عن '(( binary task guided optimization algorithm ) OR ( primary data process optimization algorithm ))*', وقت الاستعلام: 1.10s تنقيح النتائج
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    Proposed reinforcement learning architecture. حسب Enoch Solomon (21416703)

    منشور في 2025
    "…<div><p>In the realm of game playing, deep reinforcement learning predominantly relies on visual input to map states to actions. The visual data extracted from the game environment serves as the primary foundation for state representation in reinforcement learning agents. …"
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    Inconsistency concept for a triad (2, 5, 3). حسب Waldemar W. Koczkodaj (22008783)

    منشور في 2025
    "…The proposed regeneration method emulates three primary phases of a biological process: identifying the most damaged areas (by identifying inconsistencies in the pairwise comparison matrix), cell proliferation (filling in missing data), and stabilization (optimization of global consistency). …"
  5. 85

    S2 Data - حسب Musab A. Isak (18824223)

    منشور في 2024
  6. 86

    S1 Data - حسب Musab A. Isak (18824223)

    منشور في 2024
  7. 87

    Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics حسب Zhichao Liu (191718)

    منشور في 2019
    "…However, extraction of trace-abundance signals from complex data sets (<i>m</i>/<i>z</i> value, separation time, signal abundance) that result from ultrasensitive studies requires improved data processing algorithms. …"
  8. 88

    Trace, Machine Learning of Signal Images for Trace-Sensitive Mass Spectrometry: A Case Study from Single-Cell Metabolomics حسب Zhichao Liu (191718)

    منشور في 2019
    "…However, extraction of trace-abundance signals from complex data sets (<i>m</i>/<i>z</i> value, separation time, signal abundance) that result from ultrasensitive studies requires improved data processing algorithms. …"
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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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    Data used to drive the Double Layer Carbon Model in the Qinling Mountains. حسب Huiwen Li (17705280)

    منشور في 2024
    "…It also incorporates climate change responses, adjust decomposition rates based on climate and environmental changes, and lead to robust estimates under different climatic scenarios. The simulation process of the DLCM involves initializing SOC stocks with spatially detailed baseline data, adding organic matter inputs based on vegetation production, and simulating microbial decomposition while adjusting for climate variables such as temperature and soil moisture. …"
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    SPAM-XAI confusion matrix. حسب Mohd Mustaqeem (19106494)

    منشور في 2024
    "…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"
  19. 99

    Illustration of MLP. حسب Mohd Mustaqeem (19106494)

    منشور في 2024
    "…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"
  20. 100

    Dataset detail division. حسب Mohd Mustaqeem (19106494)

    منشور في 2024
    "…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. The SPAM-XAI model reduces features, optimizes the model, and reduces time and space complexity, enhancing its robustness. …"