The comparison of different optimization models. حسب Jiefei Zhang (8787494)

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Greedy optimization algorithm. حسب Alexis Bénichou (19832361)

Parameters in algorithms. حسب Chao Li (145513)

"…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …"

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب Se-Hee Jo (20554623)

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DataSheet1_Multi-Objective Optimization Design of Ladle Refractory Lining Based on Genetic Algorithm.docx حسب Ying Sun (23237)

"…In this paper, a genetic algorithm-based optimization method for ladle refractory lining structure is proposed. …"

Dimensions of the calculated model. حسب Dapeng Wang (250459)

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Comparison of line planning results. حسب Chao Li (145513)

"…The model complexity is analyzed and based on its decomposability a deterministic search algorithm is designed. …"

Spearman correlation coefficient results for classification algorithms (predicted probabilities) and regression algorithms (predicted IC50 values). حسب Sofia P. Miranda (11418930)

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Optimal schemes for different resource limitations. حسب Jiefei Zhang (8787494)

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SUNRISE hybrids obtained from 36 maintainer lines (females, rows) crossed to 36 restorer lines (males, columns). حسب Brigitte Mangin (336874)

Example medication days generated for patients P4 and P6, medication times (red dots), patient’s state—TRS score (blue line) with bounds for the states (red lines) and optimal stat... حسب Tomasz Gutowski (17200042)

Average running time line graph of different algorithms. حسب Wuyi Li (2984439)

The parameters of model. حسب Jiefei Zhang (8787494)

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Cracked tunnel-strata coupled finite element model. حسب Dapeng Wang (250459)

الموضوعات:

Classification results for all subsampling scenarios and algorithms for Gefitinib. حسب Sofia P. Miranda (11418930)

الموضوعات:

Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach حسب Xiting Wang (9327613)

"…Then, a novel molecular property prediction model, called a multiembedding-based synthetic network (MESN), was generated by applying a deep learning algorithm based on the synthesis of multiple types of molecular embeddings. …"

Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach حسب Xiting Wang (9327613)

"…Then, a novel molecular property prediction model, called a multiembedding-based synthetic network (MESN), was generated by applying a deep learning algorithm based on the synthesis of multiple types of molecular embeddings. …"

Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach حسب Xiting Wang (9327613)

"…Then, a novel molecular property prediction model, called a multiembedding-based synthetic network (MESN), was generated by applying a deep learning algorithm based on the synthesis of multiple types of molecular embeddings. …"

Flowchart of the model solution. حسب Jiefei Zhang (8787494)

الموضوعات:

Regression results for all combinations of subsampling scenarios and algorithms for Gefitinib. حسب Sofia P. Miranda (11418930)

الموضوعات: