Table_3_An artificial intelligence system to predict the optimal timing for mechanical ventilation weaning for intensive care unit patients: A two-stage prediction approach.pdf by Chung-Feng Liu (9369911)

Table_2_An artificial intelligence system to predict the optimal timing for mechanical ventilation weaning for intensive care unit patients: A two-stage prediction approach.pdf by Chung-Feng Liu (9369911)

ECE6379_PSOM.zip by Xingpeng Li (11825663)

“…Specifically, this course will cover power flow, contingency analysis, state estimation, sensitivity factors, optimal power flow, economic dispatch, unit commitment, production cost models, and energy markets. …”

The prediction error of each model. by Hao Yang (328526)

“…This study proposes an explainable deep learning framework, the Improved Kepler Optimization Algorithm-Convolutional Neural Network-Bidirectional Gated Recurrent Unit-Attention (IKOA-CNN-BiGRU-Attention) model, for precise debris flow hazard prediction in the Yunnan section of the Nujiang River Basin, China. …”

Results for model hyperparameter values. by Hao Yang (328526)

“…This study proposes an explainable deep learning framework, the Improved Kepler Optimization Algorithm-Convolutional Neural Network-Bidirectional Gated Recurrent Unit-Attention (IKOA-CNN-BiGRU-Attention) model, for precise debris flow hazard prediction in the Yunnan section of the Nujiang River Basin, China. …”

Stability analysis of each model. by Hao Yang (328526)

“…This study proposes an explainable deep learning framework, the Improved Kepler Optimization Algorithm-Convolutional Neural Network-Bidirectional Gated Recurrent Unit-Attention (IKOA-CNN-BiGRU-Attention) model, for precise debris flow hazard prediction in the Yunnan section of the Nujiang River Basin, China. …”

Robustness Analysis of each model. by Hao Yang (328526)

“…This study proposes an explainable deep learning framework, the Improved Kepler Optimization Algorithm-Convolutional Neural Network-Bidirectional Gated Recurrent Unit-Attention (IKOA-CNN-BiGRU-Attention) model, for precise debris flow hazard prediction in the Yunnan section of the Nujiang River Basin, China. …”

Category range of secondary indicators. by Yixuan Lu (9987980)

“…There is a need for the optimization of multi-attribute decision-making methods, considering the subjectivity in in weight allocation and the practical implementation obstacles. …”

Diagram of ANP network structure. by Yixuan Lu (9987980)

“…There is a need for the optimization of multi-attribute decision-making methods, considering the subjectivity in in weight allocation and the practical implementation obstacles. …”

Comparison of methodologies in scheme selection. by Yixuan Lu (9987980)

“…There is a need for the optimization of multi-attribute decision-making methods, considering the subjectivity in in weight allocation and the practical implementation obstacles. …”

Judgment matrix of control layer U. by Yixuan Lu (9987980)

“…There is a need for the optimization of multi-attribute decision-making methods, considering the subjectivity in in weight allocation and the practical implementation obstacles. …”

Expert scoring flow chart. by Yixuan Lu (9987980)

“…There is a need for the optimization of multi-attribute decision-making methods, considering the subjectivity in in weight allocation and the practical implementation obstacles. …”

Evaluation matrix. by Yixuan Lu (9987980)

“…There is a need for the optimization of multi-attribute decision-making methods, considering the subjectivity in in weight allocation and the practical implementation obstacles. …”

Parameters of joint significance test. by Yixuan Lu (9987980)

“…There is a need for the optimization of multi-attribute decision-making methods, considering the subjectivity in in weight allocation and the practical implementation obstacles. …”

Expert scoring values of criterion layer U₁. by Yixuan Lu (9987980)

“…There is a need for the optimization of multi-attribute decision-making methods, considering the subjectivity in in weight allocation and the practical implementation obstacles. …”

Pile foundation construction options. by Yixuan Lu (9987980)

“…There is a need for the optimization of multi-attribute decision-making methods, considering the subjectivity in in weight allocation and the practical implementation obstacles. …”

Comparison of calculation results. by Yixuan Lu (9987980)

“…There is a need for the optimization of multi-attribute decision-making methods, considering the subjectivity in in weight allocation and the practical implementation obstacles. …”

Judgment matrix of criterion layer U₃. by Yixuan Lu (9987980)

“…There is a need for the optimization of multi-attribute decision-making methods, considering the subjectivity in in weight allocation and the practical implementation obstacles. …”

Judgment matrix of criterion layer U₄. by Yixuan Lu (9987980)

“…There is a need for the optimization of multi-attribute decision-making methods, considering the subjectivity in in weight allocation and the practical implementation obstacles. …”

The evaluation index system. by Yixuan Lu (9987980)

“…There is a need for the optimization of multi-attribute decision-making methods, considering the subjectivity in in weight allocation and the practical implementation obstacles. …”