Comparison of precision of various proxy models. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Comparison between actual and predicted values. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Sample points and numerical simulation results. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Three-dimensional heat transfer model parameters. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Optimal Latin square sampling distribution. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

2C discharge rate grid independence test. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Feasibility diagram of design points. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Related parameters of square LIBs. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Multi objective optimization design process. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

Battery pack model. by Xueyong Pan (20390363)

“…The <i>T</i>_max of the battery module decreased by 6.84% from 40.94°C to 38.14°C and temperature mean square deviation decreased (<i>TSD</i>) by 62.13% from 1.69 to 0.64. …”

<i>Gpdh1; Ldh</i> double mutants display increased <i>upd3</i> expression. by Madhulika Rai (4352803)

<i>SLC2A2</i> is essential for liver differentiation in developing vertebrates by Yejin Kim (740789)

“…Data are represented as mean ± standard error of the mean (SEM). (G) Quantitative RT-PCR analysis was performed to evaluate the expression levels of igf1r. …”

PoAce1 enrichment in the specific regions of (hemi)cellulase genes assayed by ChIP-qPCR. by Zhongjiao Liu (11877464)

The expression levels of tasiR-ARF3 and tasiR-ARF3 targets in empty vector (EV)-, p20-, p20 ^mAIM1 -, and p20 ^mAIM5 -infiltrated <i>Nicotiana benthamiana</... by Yongle Zhang (11355546)

Example of sample data. by Xiying Wang (4859998)

“…Finally, comparative experiments compare the prediction accuracy of BPNN and EGA-BPNN using single and dual water level flow prediction models respectively. 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)

“…Finally, comparative experiments compare the prediction accuracy of BPNN and EGA-BPNN using single and dual water level flow prediction models respectively. 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)

“…Finally, comparative experiments compare the prediction accuracy of BPNN and EGA-BPNN using single and dual water level flow prediction models respectively. 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)

“…Finally, comparative experiments compare the prediction accuracy of BPNN and EGA-BPNN using single and dual water level flow prediction models respectively. 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)

“…Finally, comparative experiments compare the prediction accuracy of BPNN and EGA-BPNN using single and dual water level flow prediction models respectively. 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 effect of exposure to imidacloprid on the hemolymph of workerbees sampled from colonies fed diets with different additions of imidacloprid. by Jerzy Paleolog (3220308)