Showing 13,681 - 13,700 results of 103,949 for search '(( a step decrease ) OR ( 5 ((((mean decrease) OR (a decrease))) OR (nn decrease)) ))', query time: 1.59s Refine Results
  1. 13681

    U<sup>2</sup>-Net network structure diagram [8]. by Qingjun Yu (1649473)

    Published 2024
    “…Based on the PyTorch deep learning framework, the initial U<sup>2</sup>-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”
  2. 13682

    RSU-7 structure diagram [8]. by Qingjun Yu (1649473)

    Published 2024
    “…Based on the PyTorch deep learning framework, the initial U<sup>2</sup>-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”
  3. 13683

    Drill image dataset for training part I. by Qingjun Yu (1649473)

    Published 2024
    “…Based on the PyTorch deep learning framework, the initial U<sup>2</sup>-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”
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  8. 13688

    Portable Visual Photoelectrochemical Biosensor Based on a MgTi<sub>2</sub>O<sub>5</sub>/CdSe Heterojunction and Reversible Electrochromic Supercapacitor for Dual-Modal Cry1Ab Prote... by Shuyun Meng (9388005)

    Published 2023
    “…In PSP, a type II MgTi<sub>2</sub>O<sub>5</sub>/CdSe heterojunction effectively drives charge separation by their cross-matched band gap structures, generating an amplified photocurrent. …”
  9. 13689

    Portable Visual Photoelectrochemical Biosensor Based on a MgTi<sub>2</sub>O<sub>5</sub>/CdSe Heterojunction and Reversible Electrochromic Supercapacitor for Dual-Modal Cry1Ab Prote... by Shuyun Meng (9388005)

    Published 2023
    “…In PSP, a type II MgTi<sub>2</sub>O<sub>5</sub>/CdSe heterojunction effectively drives charge separation by their cross-matched band gap structures, generating an amplified photocurrent. …”
  10. 13690

    Portable Visual Photoelectrochemical Biosensor Based on a MgTi<sub>2</sub>O<sub>5</sub>/CdSe Heterojunction and Reversible Electrochromic Supercapacitor for Dual-Modal Cry1Ab Prote... by Shuyun Meng (9388005)

    Published 2023
    “…In PSP, a type II MgTi<sub>2</sub>O<sub>5</sub>/CdSe heterojunction effectively drives charge separation by their cross-matched band gap structures, generating an amplified photocurrent. …”
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  16. 13696

    Data_Sheet_1_Low bone mineral density is associated with gray matter volume decrease in UK Biobank.docx by Polona Kalc (12642145)

    Published 2023
    “…We were interested whether BMD is associated with GM volume decrease in brains of a healthy elderly population from the UK Biobank.…”
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