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Showing 4,441 - 4,460 results of 14,520 for search '(( significantly increased decrease ) OR ( significantly ((mean decrease) OR (linear decrease)) ))', query time: 0.49s Refine Results
  1. 4441

    DSC block and its application network structure. by Yingying Liu (360782)

    Published 2025
    “…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”
  2. 4442

    The structure of multi-scale residual block [30]. by Yingying Liu (360782)

    Published 2025
    “…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”
  3. 4443

    The structure of IRAU and Res2Net+ block [22]. by Yingying Liu (360782)

    Published 2025
    “…However, after removing the integrated residual attention unit and depth-wise separable convolution, the accuracy decreased by 1.91% and the latency increased by 117ms. …”
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  10. 4450

    S1 Data - by James Anaba Akolgo (14129379)

    Published 2025
    Subjects:
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    Effects of activators and inhibitors on TcPiezo channels. by Guozhong Huang (673424)

    Published 2025
    “…Downregulation of <i>TcPiezo1</i> expression significantly decreased Dooku1-evoked TcPiezo1-mediated Ca<sup>2+</sup> entry (left bar graph) but had no effect on Dooku1-evoked TcPiezo2-mediated Ca<sup>2+</sup> release (right bar graph). …”
  19. 4459

    Complexity comparison of different models. by Li Yuan (102305)

    Published 2025
    “…As a result, the improved model effectively increases signal recognition accuracy, enhances model robustness, and significantly reduces computational complexity while ensuring real-time signal processing for communication computing.…”
  20. 4460

    Dynamic window based median filtering algorithm. by Li Yuan (102305)

    Published 2025
    “…As a result, the improved model effectively increases signal recognition accuracy, enhances model robustness, and significantly reduces computational complexity while ensuring real-time signal processing for communication computing.…”