Showing 15,601 - 15,620 results of 49,729 for search '(( 50 ((nn decrease) OR (a decrease)) ) OR ( 5 ((point decrease) OR (mean decrease)) ))', query time: 1.37s Refine Results
  1. 15601
  2. 15602

    Accuracy test results. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  3. 15603

    Experiment environment and parameter. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  4. 15604

    Test results for NME and FR. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  5. 15605

    DARTS algorithm process. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  6. 15606

    Comparison result of memory usage. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  7. 15607

    LKA model structure. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  8. 15608

    Test results on different datasets. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  9. 15609

    Comparison result of memory usage. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  10. 15610

    Residual configuration. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  11. 15611

    Relative abundances of <i>L</i>. <i>iners</i> proteins in cervicovaginal lavages of women with positive <i>L</i>. <i>iners</i> 16S rDNA microarray results (n = 31) among three vagi... by Hanneke Borgdorff (620183)

    Published 2016
    “…<p>GAPDH_1, GAPDH_2, ALDO, GPI, and DPS were significantly decreased in women with a vaginal pH ≥5, compared to women with a vaginal pH between 4 and 5. …”
  12. 15612
  13. 15613

    Test results for P, R, F1, and OA. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  14. 15614

    Schematic diagram of DARTS-VAN model structure. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  15. 15615

    DARTS-VAN model unit search process. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  16. 15616
  17. 15617

    Data_Sheet_1_A five-year observational prospective mono-center study of the efficacy of alemtuzumab in a real-world cohort of patients with multiple sclerosis.PDF by Sofia Sandgren (17017017)

    Published 2023
    “…</p>Methods<p>Fifty-one RRMS patients [female = 31; mean age 36 (standard deviation 7.1) years; median expanded disability status scale (EDSS) 2 (interquartile range (IQR) 1.5)] initiating ALZ treatment, were consecutively included. …”
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