Showing 121 - 140 results of 6,642 for search '(( significantly better decrease ) OR ( significant decrease accuracy ))', query time: 0.52s Refine Results
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    Improved Accuracy and Reliability in Untargeted Analysis with LC-ESI-QTOF/MS<sup>1</sup> by Ensemble Averaging by Guillaume Laurent Erny (21000926)

    Published 2025
    “…However, the complexity and variability in the data can introduce significant errors, impacting the reliability of the results. …”
  3. 123

    Improved Accuracy and Reliability in Untargeted Analysis with LC-ESI-QTOF/MS<sup>1</sup> by Ensemble Averaging by Guillaume Laurent Erny (21000926)

    Published 2025
    “…However, the complexity and variability in the data can introduce significant errors, impacting the reliability of the results. …”
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    Words for describing activities that decrease and/or increase Subjective Well-Being. by August Håkan Nilsson (12937056)

    Published 2022
    “…Words significantly related to activities decreasing SWB are plotted on the left side in red. …”
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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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    Humans show better generalisation following progressive training. by Sam C. Berens (13970497)

    Published 2022
    “…<b>D)</b> Response times to inference trails by transitive distance. While not significant, in general, response times decreased as transitive distance increased. …”
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    Comparison experiment of accuracy improvement. by Zhongjian Xie (4633099)

    Published 2025
    “…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”
  16. 136

    Comparison experiment of accuracy improvement. by Zhongjian Xie (4633099)

    Published 2025
    “…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”
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