يعرض 421 - 440 نتائج من 570 نتيجة بحث عن '(((( query processing algorithm ) OR ( element data algorithm ))) OR ( level coding algorithm ))', وقت الاستعلام: 0.50s تنقيح النتائج
  1. 421

    Features with the top importance score. حسب Matthew Yit Hang Yeow (20721206)

    منشور في 2025
    "…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …"
  2. 422

    Data Sheet 1_Image-assisted textural analysis of plagioclase crystals in volcanic rocks: an application to lavas erupted on 2021 at Pacaya volcano, Guatemala.docx حسب Roberto Visalli (8152251)

    منشور في 2025
    "…In this study, we have processed X-ray maps of major elements from the 2021 basaltic lava rocks of Pacaya volcano (Guatemala) through the Quantitative X-ray Map Analyzer (Q-XRMA) software. …"
  3. 423
  4. 424

    Intuitionistic fuzzy number . حسب Hanan Alolaiyan (18536236)

    منشور في 2024
    "…Consequently, inaccurate cryptographic data is more effectively represented, manipulated, and protected. …"
  5. 425

    Experimental message into the integer. حسب Hanan Alolaiyan (18536236)

    منشور في 2024
    "…Consequently, inaccurate cryptographic data is more effectively represented, manipulated, and protected. …"
  6. 426

    Triangular . حسب Hanan Alolaiyan (18536236)

    منشور في 2024
    "…Consequently, inaccurate cryptographic data is more effectively represented, manipulated, and protected. …"
  7. 427

    Graphical representation of triangular 0.6- . حسب Hanan Alolaiyan (18536236)

    منشور في 2024
    "…Consequently, inaccurate cryptographic data is more effectively represented, manipulated, and protected. …"
  8. 428

    Graphical representation of . حسب Hanan Alolaiyan (18536236)

    منشور في 2024
    "…Consequently, inaccurate cryptographic data is more effectively represented, manipulated, and protected. …"
  9. 429

    Bayesian Inference of Vector Autoregressions with Tensor Decompositions حسب Yiyong Luo (6170300)

    منشور في 2025
    "…Secondly, to obtain interpretable margins, we propose an interweaving algorithm to improve the mixing of margins and identify the margins using a post-processing procedure. …"
  10. 430
  11. 431

    Data Sheet 1_Evaluating the effectiveness of AI-enhanced “One Body, Two Wings” pharmacovigilance models in China: a nationwide survey on medication safety and risk management.pdf... حسب Jian Yang (12136)

    منشور في 2025
    "…However, the study concludes that successful AI integration is predicated on a robust information systems infrastructure, which the data identified as the most critical foundational element. …"
  12. 432
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  15. 435

    S1 Graphical abstract - حسب José M. Rivera-Arbeláez (12418512)

    منشور في 2025
    "…The software uses a shape-detection algorithm to single out and track the movement of pillars’ tips for the most common shapes of EHT platforms. …"
  16. 436

    Description of features. حسب Sadia Nazim (21440115)

    منشور في 2025
    "…A comprehensive investigation of significant characteristics and their impact on the decision-making process of the model and multiple query point visualizations are some of the contributions. …"
  17. 437

    The architecture of the SE-multi-input CNN model. حسب Bin Zheng (45359)

    منشور في 2025
    "…While deep learning has advanced automated ECG analysis, challenges remain in accurately classifying arrhythmias due to signal variability, data imbalance, and feature representation limitations. …"
  18. 438

    Confusion matrix for the Multi-input CNN model. حسب Bin Zheng (45359)

    منشور في 2025
    "…While deep learning has advanced automated ECG analysis, challenges remain in accurately classifying arrhythmias due to signal variability, data imbalance, and feature representation limitations. …"
  19. 439

    Confusion matrices for single-input CNN models. حسب Bin Zheng (45359)

    منشور في 2025
    "…While deep learning has advanced automated ECG analysis, challenges remain in accurately classifying arrhythmias due to signal variability, data imbalance, and feature representation limitations. …"
  20. 440

    Confusion matrix for the Multi-input CNN model. حسب Bin Zheng (45359)

    منشور في 2025
    "…While deep learning has advanced automated ECG analysis, challenges remain in accurately classifying arrhythmias due to signal variability, data imbalance, and feature representation limitations. …"