Circumferential stress in ABR pipe with different thicknesses. by Changxi Shan (22493205)

Subjects:

ABR pipe backfill. by Changxi Shan (22493205)

Subjects:

Mohr-Coulomb strength theory model. by Changxi Shan (22493205)

Subjects:

ABR pipe axial stress. by Changxi Shan (22493205)

Subjects:

Location-2 loading circumferential stress experiment results. by Changxi Shan (22493205)

Subjects:

Stress-strain and ring stiffness curves of ABR pipes. by Changxi Shan (22493205)

Subjects:

The performance parameters of ABR pipe. by Changxi Shan (22493205)

Subjects:

Effects of traffic loading on buried ABR pipe. by Changxi Shan (22493205)

Subjects:

ABR pipe circumferential stress at location-1 loading. by Changxi Shan (22493205)

Subjects:

Patient characteristics before and after propensity score matching. by Anna D. Ware (19688153)

Subjects:

Unadjusted and adjusted odds ratios (95% confidence interval) for associations between patients who were prescribed aspirin at baseline and the occurrence of post-COVID-19 acute th... by Anna D. Ware (19688153)

Subjects:

Forest plot displaying the association (odds ratio [95% CI]) between patients who were prescribed aspirin at baseline and the occurrence of post-COVID-19 acute thromboembolic disor... by Anna D. Ware (19688153)

Subjects:

Patient flowchart. by Anna D. Ware (19688153)

Subjects:

Frequency of post-COVID-19 acute thromboembolic disorders among aspirin users vs. non-users within 12 months following index date. by Anna D. Ware (19688153)

Subjects:

IFA significantly attenuated capsule-mediated resistance to the binding of C3b and C5b-9 to bacterial surface. by Tingting Wang (123983)

Example of sample data. by Xiying Wang (4859998)

“…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”

Structure of BPNN. by Xiying Wang (4859998)

“…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”

The workflow of EGA-BPNN. by Xiying Wang (4859998)

“…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”

S1 Data - by Xiying Wang (4859998)

“…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”

Algorithm flow of the GA-BPNN model. by Xiying Wang (4859998)

“…The results reveal that as the number of nodes in the hidden layer increases, the model’s Mean Squared Error (MSE) and Relative Error (RE) show a decreasing trend, indicating an improvement in model prediction accuracy. …”