يعرض 101 - 120 نتائج من 6,634 نتيجة بحث عن '(((( data processing algorithm ) OR ( based testing algorithm ))) OR ( element method algorithm ))', وقت الاستعلام: 0.42s تنقيح النتائج
  1. 101

    Vibration Nondestructive Testing of Continuous Welded Rails: A Finite Element Analysis حسب Alireza Enshaeian (20360253)

    منشور في 2024
    "…<p>This paper presents a finite element model for the dynamic vibration of continuous-welded rails (CWR) under different longitudinal stresses and base conditions. The model supports the physical principles of a vibration-based nondestructive testing (NDT) technique aimed at inferring the lateral and vertical strength, and the neutral temperature of CWR. …"
  2. 102
  3. 103
  4. 104
  5. 105
  6. 106

    DRN activity recorded with CMOS-based device after formalin injection. حسب Virgil Christian Garcia Castillo (19688355)

    منشور في 2024
    الموضوعات: "…interest determination algorithm…"
  7. 107
  8. 108
  9. 109

    Feature extraction model training process. حسب Fengning Liang (20927493)

    منشور في 2025
    "…Then, it applies a Sand Cat Swarm Optimization (SCSO) algorithm to optimize the weight of pseudo-label data. …"
  10. 110
  11. 111
  12. 112
  13. 113
  14. 114

    Test-grid from Xu & Tanenbaum. حسب Spencer Caplan (10188380)

    منشور في 2025
    الموضوعات:
  15. 115

    Data Sheet 1_Closing the loop: establishing an autonomous test-learn cycle to optimize induction of bacterial systems using a robotic platform.pdf حسب Jan Benedict Spannenkrebs (20595722)

    منشور في 2025
    "…Robotic platforms can be used to automate this task and provide sufficiently large and reproducible data sets including provenance. Although robotics can significantly speed up the data collection process, the collation and analysis of the resulting data, needed to reprogram and refine workflows for future iterations, is often a manual process. …"
  16. 116

    Flow chart of the search process. حسب Lei Gao (6566)

    منشور في 2025
    "…The data were divided into training and test sets in a 7:3 ratio. Five machine learning algorithms -XGBoost, Random Forest(RF), Dicision tree(DT), K-Nearest Neighbor classification(KNN), and Naive Bayes(NB) were applied to construct the models, combined with logistic regression (LR) based on Lasso regression. …"
  17. 117

    Comparison of some test results. حسب Guoqing Zhang (151441)

    منشور في 2025
    الموضوعات:
  18. 118

    Data Sheet 1_Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China.docx حسب Hanyu Zhang (1425250)

    منشور في 2025
    "…</p>Methods<p>UAV-LiDAR point clouds of Populus alba, Populus simonii, Pinus sylvestris, and Pinus tabuliformis from 12 sample plots, 2,622 tree in total, were obtained in North China, training and testing sets were constructed through data pre-processing, individual tree segmentation, feature extraction, Non-uniform Grid and Farther Point Sampling (NGFPS), and then four tree species were classified efficiently by two machine learning algorithms and two deep learning algorithms.…"
  19. 119
  20. 120