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

الموضوعات:

Comparison between ILSTM and machine learning-based algorithms in binary classification. حسب Asmaa Ahmed Awad (16726315)

Comparison between ILSTM and deep learning-based algorithms in binary classification. حسب Asmaa Ahmed Awad (16726315)

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

"…In this paper, a novel, and improved version of the Long Short-Term Memory (ILSTM) algorithm was proposed. The ILSTM is based on the novel integration of the chaotic butterfly optimization algorithm (CBOA) and particle swarm optimization (PSO) to improve the accuracy of the LSTM algorithm. …"

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

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A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm حسب Anonymous authors (for blind review purpose) (6473313)

"…This is the experimental data of the manuscript entitled “A New Bifuzzy Optimization Method for Remanufacturing Scheduling Using Extended Discrete Particle Swarm Optimization Algorithm”. …"

Learning to Optimize Molecular Geometries Using Reinforcement Learning حسب Kabir Ahuja (10010761)

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. …"

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. …"

Overall rankings of optimization algorithms. حسب Máté Mohácsi (20469514)

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

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TimeGAN instantiated with RNN, solid lines denote function application, dashed lines denote recurrence, and orange lines indicate loss computation. حسب Xiaorui Wu (8322705)

The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. حسب Ahmed M. Elshewey (21463867)

Configuration of the CRH3 train used in China. حسب Dapeng Wang (250459)

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

الموضوعات:

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

الموضوعات:

Average RMSE rank for all combinations of subsampling scenarios and algorithms. حسب Sofia P. Miranda (11418930)

الموضوعات:

Overall rankings of single-objective optimization algorithms. حسب Máté Mohácsi (20469514)

Algorithm for generating hyperparameter. حسب Balraj Preet Kaur (20370832)

"…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"

Summary of AUC values across all combinations of subsampling scenario and algorithm. حسب Sofia P. Miranda (11418930)

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