Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significantly high » significantly higher (Expand Search), significantly change (Expand Search), significantly less (Expand Search)
high decrease » slight decrease (Expand Search), high degree (Expand Search), high disease (Expand Search)
Showing 1,581 - 1,600 results of 21,342 for search '(( significant decrease decrease ) OR ( significantly high decrease ))', query time: 0.42s Refine Results
  1. 1581
    Fracture pressure based on previous Poisson’s ratio models.

    Fracture pressure based on previous Poisson’s ratio models. by Fahd Saeed Alakbari (10701871)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  2. 1582
    Group error analysis of bulk formation density for the proposed GPR and some previous approaches.

    Group error analysis of bulk formation density for the proposed GPR and some previous approaches. by Fahd Saeed Alakbari (10701871)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  3. 1583
    Trend analysis of the ν<sub>s</sub> – DTs in the range found in the dataset used for the optimized GPR.

    Trend analysis of the ν<sub>s</sub> – DTs in the range found in the dataset used for the optimized GPR. by Fahd Saeed Alakbari (10701871)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  4. 1584
    Changes in continuous sleep measures from pre (t1) to post (t2) intervention.

    Changes in continuous sleep measures from pre (t1) to post (t2) intervention. by Anton Kurapov (11346019)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  5. 1585
    The optimized GPR approach’s error histogram of the training dataset.

    The optimized GPR approach’s error histogram of the training dataset. by Fahd Saeed Alakbari (10701871)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  6. 1586
    The optimized GPR approach’s errors histogram of the testing dataset.

    The optimized GPR approach’s errors histogram of the testing dataset. by Fahd Saeed Alakbari (10701871)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  7. 1587
    Group error analysis of shear time for the proposed GPR and some previous approaches.

    Group error analysis of shear time for the proposed GPR and some previous approaches. by Fahd Saeed Alakbari (10701871)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  8. 1588
    Overview over the contents of the app program divided by level [28].

    Overview over the contents of the app program divided by level [28]. by Anton Kurapov (11346019)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  9. 1589
    Sociodemographic information, participant flow, engagement, and compliance.

    Sociodemographic information, participant flow, engagement, and compliance. by Anton Kurapov (11346019)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  10. 1590
    The comparison of ν<sub>s</sub> – DTc trends models with experimental measured values for RHOB = 2.27 g/cc and DTs =  248.99 us/ft.

    The comparison of ν<sub>s</sub> – DTc trends models with experimental measured values for RHOB = 2.27 g/cc and DTs =  248.99 us/ft. by Fahd Saeed Alakbari (10701871)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  11. 1591
    The optimized parameters of the proposed GPR method.

    The optimized parameters of the proposed GPR method. by Fahd Saeed Alakbari (10701871)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  12. 1592
    The optimized GPR approach’s error histogram of the validation dataset.

    The optimized GPR approach’s error histogram of the validation dataset. by Fahd Saeed Alakbari (10701871)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  13. 1593
    Changes in mental health symptoms after the sleep intervention (n = 160 completers).

    Changes in mental health symptoms after the sleep intervention (n = 160 completers). by Anton Kurapov (11346019)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  14. 1594
    Cross-plots of (a) the proposed GPR, Ranjbar-Karaml et al. [14], Christaras et al. [52], Feng et al. [16], Gowida et al. [17] models and (b) Khandelwal et al. [13], Brandås et al. [15], and Kumar et al. [

    Cross-plots of (a) the proposed GPR, Ranjbar-Karaml et al. [14], Christaras et al. [52], Feng et al. [16], Gowida et al. [17] models and (b) Khandelwal et al. [13], Brandås et al.... by Fahd Saeed Alakbari (10701871)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  15. 1595
    Group error analysis of compressional time for the proposed GPR and some previous approaches.

    Group error analysis of compressional time for the proposed GPR and some previous approaches. by Fahd Saeed Alakbari (10701871)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  16. 1596
    ‘Sleep2Ukraine’ study design.

    ‘Sleep2Ukraine’ study design. by Anton Kurapov (11346019)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  17. 1597
    The optimized GPR approach’s cross-plotting for the validation dataset.

    The optimized GPR approach’s cross-plotting for the validation dataset. by Fahd Saeed Alakbari (10701871)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  18. 1598
    (a) Average absolute percentage relative error (AAPRE), and, (b) Coefficient of determination (R<sup>2</sup>) of the models.

    (a) Average absolute percentage relative error (AAPRE), and, (b) Coefficient of determination (R<sup>2</sup>) of the models. by Fahd Saeed Alakbari (10701871)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  19. 1599
    Trend analysis of the ν<sub>s</sub> – RHOB in the range of data found in the dataset used for the optimized GPR.

    Trend analysis of the ν<sub>s</sub> – RHOB in the range of data found in the dataset used for the optimized GPR. by Fahd Saeed Alakbari (10701871)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  20. 1600
    The comparison of ν<sub>s</sub> – DTc trends models with experimental measured values for RHOB = 2.02 g/cc and DTs =  265.03 us/ft.

    The comparison of ν<sub>s</sub> – DTc trends models with experimental measured values for RHOB = 2.02 g/cc and DTs =  265.03 us/ft. by Fahd Saeed Alakbari (10701871)

    Published 2025
    Subjects:
    Save to List
    Saved in:

Search Tools: