Showing 761 - 780 results of 2,271 for search 'significantly ((((better decrease) OR (greater decrease))) OR (teer decrease))', query time: 0.50s Refine Results
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  5. 765

    List of captured wild pollinator species. by Carmelo Gómez-Martínez (9384385)

    Published 2025
    “…Overall pollinator abundance was slightly higher in ecological than conventional orchards, but the difference was not significant. High male-to-female ratio enhanced overall pollinator abundance and shaped pollinator composition, by increasing hoverfly abundance and decreasing wasp and fly abundance. …”
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  7. 767

    Map of the 20 study orchards. by Carmelo Gómez-Martínez (9384385)

    Published 2025
    “…Overall pollinator abundance was slightly higher in ecological than conventional orchards, but the difference was not significant. High male-to-female ratio enhanced overall pollinator abundance and shaped pollinator composition, by increasing hoverfly abundance and decreasing wasp and fly abundance. …”
  8. 768

    Pictures of carob tree flowers and orchard. by Carmelo Gómez-Martínez (9384385)

    Published 2025
    “…Overall pollinator abundance was slightly higher in ecological than conventional orchards, but the difference was not significant. High male-to-female ratio enhanced overall pollinator abundance and shaped pollinator composition, by increasing hoverfly abundance and decreasing wasp and fly abundance. …”
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    Distribution of Pre-existing Medical Conditions. by Sepideh Hejazi (16227860)

    Published 2025
    “…</p><p>Results</p><p>Initial clinical presentations differed significantly, eneralized Estimating Equations (GEE) analysis, adjusted for comorbidities, revealed COVID-19 history was associated with increased platelet counts <i>(P</i> = 0.0311) and decreased facial swelling <i>(P</i> = 0.049) and fever symptom reporting <i>(P</i> < 0.001). …”
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    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. …”
  13. 773

    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. …”
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    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. …”
  15. 775

    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. …”
  16. 776

    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. …”
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    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. …”
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    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. …”
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    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. …”
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    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. …”