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

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

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Greedy optimization algorithm. حسب Alexis Bénichou (19832361)

MSE for ILSTM algorithm in binary classification. حسب Asmaa Ahmed Awad (16726315)

"…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …"

Parameters in algorithms. حسب Chao Li (145513)

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

The confidence curve of a binary image. حسب Dingming Yang (8505990)

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. …"

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. …"

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)

DE algorithm flow. حسب Ling Zhao (111365)

"…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …"

One advantage of our algorithm is that it is not binary in nature. حسب Yong Kuk Kim (13955214)

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

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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. …"

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

Test results of different algorithms. حسب Ling Zhao (111365)

"…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …"

The parameters of model. حسب Jiefei Zhang (8787494)

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

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