Showing 15,081 - 15,100 results of 46,952 for search '(( 50 ((a decrease) OR (nn decrease)) ) OR ( 5 ((wt decrease) OR (mean decrease)) ))', query time: 0.81s Refine Results
  1. 15081
  2. 15082
  3. 15083
  4. 15084

    Training set data expansion. by Qingjun Yu (1649473)

    Published 2024
    “…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. Overall, the model has high accuracy for segmenting structural planes and very low mean absolute error, indicating good segmentation accuracy and certain generalization of the network. …”
  5. 15085

    Structural plane recognition effect. by Qingjun Yu (1649473)

    Published 2024
    “…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. Overall, the model has high accuracy for segmenting structural planes and very low mean absolute error, indicating good segmentation accuracy and certain generalization of the network. …”
  6. 15086

    Structural plane classification. by Qingjun Yu (1649473)

    Published 2024
    “…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. Overall, the model has high accuracy for segmenting structural planes and very low mean absolute error, indicating good segmentation accuracy and certain generalization of the network. …”
  7. 15087
  8. 15088

    Mixup data expansion. by Qingjun Yu (1649473)

    Published 2024
    “…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. Overall, the model has high accuracy for segmenting structural planes and very low mean absolute error, indicating good segmentation accuracy and certain generalization of the network. …”
  9. 15089

    Marking example. by Qingjun Yu (1649473)

    Published 2024
    “…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. Overall, the model has high accuracy for segmenting structural planes and very low mean absolute error, indicating good segmentation accuracy and certain generalization of the network. …”
  10. 15090
  11. 15091

    Impact of a drug dispensing model at a Community Pharmacy in Goiânia, Goiás, Brazil by Tatyana Xavier Almeida Matteucci Ferreira (6573785)

    Published 2019
    “…The number of patients showing insufficient knowledge about medications decreased by 50% (p < 0.05), and the number of those showing sufficient knowledge was three times greater (p < 0.05) after medicine dispensing. …”
  12. 15092

    Expression of FOXM1 promotes mucinous characteristics in mouse lung tumors induced either by urethane or Kras<sup>G12D</sup>. by David Milewski (4710029)

    Published 2017
    “…<b>(B)</b> <i>Nkx2-1</i> mRNA was decreased in microdissected <i>epiFoxM1-ΔN</i> tumors (n = 5) compared to control tumors (n = 5) as shown by qRT-PCR. …”
  13. 15093
  14. 15094
  15. 15095

    A representative case of paclitaxel-coated balloon treatment in a de novo lesion. by Soe Hee Ann (775368)

    Published 2016
    “…The plaque phenotype, fibroatheroma remain unchanged and the plaque burden (PB) decreased over time (I; 66%, J; 50%, K; 47%, L: 40%). …”
  16. 15096
  17. 15097

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

    Published 2024
    “…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. Overall, the model has high accuracy for segmenting structural planes and very low mean absolute error, indicating good segmentation accuracy and certain generalization of the network. …”
  18. 15098

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

    Published 2024
    “…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. Overall, the model has high accuracy for segmenting structural planes and very low mean absolute error, indicating good segmentation accuracy and certain generalization of the network. …”
  19. 15099

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

    Published 2024
    “…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. Overall, the model has high accuracy for segmenting structural planes and very low mean absolute error, indicating good segmentation accuracy and certain generalization of the network. …”
  20. 15100

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

    Published 2024
    “…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. Overall, the model has high accuracy for segmenting structural planes and very low mean absolute error, indicating good segmentation accuracy and certain generalization of the network. …”