Showing 13,441 - 13,460 results of 48,097 for search '(( a ((mean decrease) OR (linear decrease)) ) OR ( a ((latent decrease) OR (largest decrease)) ))', query time: 0.79s Refine Results
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    Table_1_Effects and Interaction of Meteorological Parameters on Influenza Incidence During 2010–2019 in Lanzhou, China.DOCX by Jinyu Wang (381467)

    Published 2022
    “…An increase in AT by 1°C led to an estimates of percent change (95%CI) of 3.12% (−4.75% to −1.46%) decrease in the weekly influenza case counts in a low RH environment. …”
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    Confirmation of microarray findings with RT-qPCR. by Meizi Zhang (776126)

    Published 2015
    “…<p>(A) Three genes from the focal adhesion, cytoskeleton and ECM gene set (Lamc1, Dock1 and Thbs2) were selected and confirmed to be decreased 6hr following adipogenic induction in FTO knock-down cells. …”
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    Flowchart of CNNBLSTM algorithm. by Guozhu Sui (21672798)

    Published 2025
    “…Compared with the traditional convolutional neural network with bidirectional long short-term memory algorithm, the training loss decreased by 42.86% The suggested algorithm outperformed the current advanced algorithms in terms of prediction precision, with an average absolute percentage error of 0.233 and a root mean square error of 23.87. …”
  9. 13449

    Comparison of TL and VL of different algorithms. by Guozhu Sui (21672798)

    Published 2025
    “…Compared with the traditional convolutional neural network with bidirectional long short-term memory algorithm, the training loss decreased by 42.86% The suggested algorithm outperformed the current advanced algorithms in terms of prediction precision, with an average absolute percentage error of 0.233 and a root mean square error of 23.87. …”
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    Analysis of ST characteristics of TF. by Guozhu Sui (21672798)

    Published 2025
    “…Compared with the traditional convolutional neural network with bidirectional long short-term memory algorithm, the training loss decreased by 42.86% The suggested algorithm outperformed the current advanced algorithms in terms of prediction precision, with an average absolute percentage error of 0.233 and a root mean square error of 23.87. …”
  11. 13451

    Schematic diagram of STTFP model. by Guozhu Sui (21672798)

    Published 2025
    “…Compared with the traditional convolutional neural network with bidirectional long short-term memory algorithm, the training loss decreased by 42.86% The suggested algorithm outperformed the current advanced algorithms in terms of prediction precision, with an average absolute percentage error of 0.233 and a root mean square error of 23.87. …”
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    Summary of the methods in current research. by Guozhu Sui (21672798)

    Published 2025
    “…Compared with the traditional convolutional neural network with bidirectional long short-term memory algorithm, the training loss decreased by 42.86% The suggested algorithm outperformed the current advanced algorithms in terms of prediction precision, with an average absolute percentage error of 0.233 and a root mean square error of 23.87. …”
  13. 13453

    Diagram of the improved CNNBLSTM model. by Guozhu Sui (21672798)

    Published 2025
    “…Compared with the traditional convolutional neural network with bidirectional long short-term memory algorithm, the training loss decreased by 42.86% The suggested algorithm outperformed the current advanced algorithms in terms of prediction precision, with an average absolute percentage error of 0.233 and a root mean square error of 23.87. …”
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    Source dataset and code: <b>Feeding specialization shapes functional diversity of avian assemblages along a tropical rainforest elevational gradient</b> by Kryštof Korejs (18156751)

    Published 2025
    “…</p><p dir="ltr">Standardized functional richness declined sharply from the lowlands to 1700 m a.s.l., followed by a weak decrease towards the treeline. …”
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