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Showing 241 - 260 results of 596 for search '(( dramatic decrease ) OR ((( somatic decrease ) OR ( automatic decrease ))))', query time: 0.50s Refine Results
  1. 241

    The proposed method work-flow. by Hoang Thanh Nhon (22311837)

    Published 2025
    “…For example, the deep neural network model shows a decrease in RMSE from 0.926 to 0.375, MAE from 0.337 to 0.196, and MAPE from 134.63 to 114.71. …”
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    Histogram of the extracted parameters. by Qiuyu Du (20760848)

    Published 2025
    “…Firstly, the aorta was segmented automatically by TotalSegmentator and its centerline was extracted. …”
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    A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

    Published 2025
    “…This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”
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    Mechanically Robust and Biodegradable Electrospun Membranes Made from Bioderived Thermoplastic Polyurethane and Polylactic Acid by Robert J. Chambers (19856799)

    Published 2024
    “…Blending TPU with PLA dramatically increases the strain at break of the PLA membrane, while the addition of PLA in TPU stiffens the material considerably. …”
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    HG module schematic. by Wenhao Ren (2561731)

    Published 2025
    “…Additionally, the model achieves a 6.55% reduction in size and a 0.03% decrease in computational complexity. These results highlight the practical applicability and efficiency of the proposed approach for automatic crack detection in building structures, emphasizing the novel integration of feature fusion and attention mechanisms to address challenges in real-time and high-accuracy detection of micro-cracks in complex environments.…”
  15. 255

    Label data volume and label distribution. by Wenhao Ren (2561731)

    Published 2025
    “…Additionally, the model achieves a 6.55% reduction in size and a 0.03% decrease in computational complexity. These results highlight the practical applicability and efficiency of the proposed approach for automatic crack detection in building structures, emphasizing the novel integration of feature fusion and attention mechanisms to address challenges in real-time and high-accuracy detection of micro-cracks in complex environments.…”
  16. 256

    The structure of the context guided block. by Wenhao Ren (2561731)

    Published 2025
    “…Additionally, the model achieves a 6.55% reduction in size and a 0.03% decrease in computational complexity. These results highlight the practical applicability and efficiency of the proposed approach for automatic crack detection in building structures, emphasizing the novel integration of feature fusion and attention mechanisms to address challenges in real-time and high-accuracy detection of micro-cracks in complex environments.…”
  17. 257

    SEnet module. by Wenhao Ren (2561731)

    Published 2025
    “…Additionally, the model achieves a 6.55% reduction in size and a 0.03% decrease in computational complexity. These results highlight the practical applicability and efficiency of the proposed approach for automatic crack detection in building structures, emphasizing the novel integration of feature fusion and attention mechanisms to address challenges in real-time and high-accuracy detection of micro-cracks in complex environments.…”
  18. 258

    AC-LayeringNetV2 architecture module. by Wenhao Ren (2561731)

    Published 2025
    “…Additionally, the model achieves a 6.55% reduction in size and a 0.03% decrease in computational complexity. These results highlight the practical applicability and efficiency of the proposed approach for automatic crack detection in building structures, emphasizing the novel integration of feature fusion and attention mechanisms to address challenges in real-time and high-accuracy detection of micro-cracks in complex environments.…”
  19. 259

    Cracks included in the dataset. by Wenhao Ren (2561731)

    Published 2025
    “…Additionally, the model achieves a 6.55% reduction in size and a 0.03% decrease in computational complexity. These results highlight the practical applicability and efficiency of the proposed approach for automatic crack detection in building structures, emphasizing the novel integration of feature fusion and attention mechanisms to address challenges in real-time and high-accuracy detection of micro-cracks in complex environments.…”
  20. 260

    Loss function comparison plot. by Wenhao Ren (2561731)

    Published 2025
    “…Additionally, the model achieves a 6.55% reduction in size and a 0.03% decrease in computational complexity. These results highlight the practical applicability and efficiency of the proposed approach for automatic crack detection in building structures, emphasizing the novel integration of feature fusion and attention mechanisms to address challenges in real-time and high-accuracy detection of micro-cracks in complex environments.…”