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cnn decrease » mean decrease (Expand Search), a decrease (Expand Search), c decreased (Expand Search)
men decrease » mean decrease (Expand Search), we decrease (Expand Search), meja decreased (Expand Search)
nn decrease » a decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
_ decrease » _ decreased (Expand Search)
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Showing 1 - 20 results of 30,878 for search '(( 50 ((nn decrease) OR (_ decrease)) ) OR ((( _ cnn decrease ) OR ( 12 men decrease ))))*', query time: 0.49s Refine Results
  1. 1
    %-change after 3 and 12 months of hormone therapy in trans women and trans men.

    %-change after 3 and 12 months of hormone therapy in trans women and trans men. by Moya H. Schutte (12245290)

    Published 2022
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  2. 2
    Inflammation and hemostasis markers at 0, 3 and 12 months in trans men (absolute values).

    Inflammation and hemostasis markers at 0, 3 and 12 months in trans men (absolute values). by Moya H. Schutte (12245290)

    Published 2022
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  3. 3
    Gradual decreases in tyrosinase expression detected by Western blotting.

    Gradual decreases in tyrosinase expression detected by Western blotting. by Shuji Nakamura (230936)

    Published 2017
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  4. 4
    Numbers of all fractures occurring in men, arranged in order of decreasing mean age, and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age.

    Numbers of all fractures occurring in men, arranged in order of decreasing mean age, and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age. by Camilla Bergh (9904522)

    Published 2020
    “…<p>Numbers of all fractures occurring in men, arranged in order of decreasing mean age, and with proportion of each of the fracture types in patients over 50, 65, and 75 years of age.…”
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  5. 5
    Inflammation and hemostasis markers at 0, 3 and 12 months in trans women (absolute values).

    Inflammation and hemostasis markers at 0, 3 and 12 months in trans women (absolute values). by Moya H. Schutte (12245290)

    Published 2022
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  6. 6
    Hormone concentrations, body mass index and blood pressure at baseline and after 3 and 12 months of hormone therapy.

    Hormone concentrations, body mass index and blood pressure at baseline and after 3 and 12 months of hormone therapy. by Moya H. Schutte (12245290)

    Published 2022
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  7. 7
    CNN Model Architecture.

    CNN Model Architecture. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
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  8. 8
    Performance of CNN models.

    Performance of CNN models. by Fang-Rong Hsu (13983021)

    Published 2022
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  9. 9
    Flowchart of Proposed SMO_CNN.

    Flowchart of Proposed SMO_CNN. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
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  10. 10
    CNN Model Layers Summary.

    CNN Model Layers Summary. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
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  11. 11
    Detailed meta–analyses in untreated hypothyroid patients compared with controls for each HRV parameters: RR intervals, SDNN, RMSSD, pNN50, TP, LF, HF, LF/HF.

    Detailed meta–analyses in untreated hypothyroid patients compared with controls for each HRV parameters: RR intervals, SDNN, RMSSD, pNN50, TP, LF, HF, LF/HF. by Valentin Brusseau (12769704)

    Published 2022
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  12. 12
    Baseline characteristics of the study population.

    Baseline characteristics of the study population. by Moya H. Schutte (12245290)

    Published 2022
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  13. 13
    Study flowchart.

    Study flowchart. by Moya H. Schutte (12245290)

    Published 2022
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  14. 14
    Minimal dataset.

    Minimal dataset. by Moya H. Schutte (12245290)

    Published 2022
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  15. 15
    Performance Results of Proposed SMO_CNN Model.

    Performance Results of Proposed SMO_CNN Model. by Mudhafar Jalil Jassim Ghrabat (22177655)

    Published 2025
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  16. 16
    CNN Output.

    CNN Output. by Leah R. Enders (18536102)

    Published 2024
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  17. 17
    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection.

    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

    Published 2022
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  18. 18
    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection.

    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

    Published 2022
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  19. 19
    Architecture of the proposed CNN.

    Architecture of the proposed CNN. by Yunsu Choi (11993484)

    Published 2022
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  20. 20
    Sensitivity analysis by 50% increase or decrease in maximum channel conductance.

    Sensitivity analysis by 50% increase or decrease in maximum channel conductance. by Yong Cheng Poh (142452)

    Published 2012
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