Mesh Division Schematic Diagram. by Nan Ru (9594384)

Automatic generation of mesh diagrams. by Ronghua Meng (20978441)

Combination ablation experiments on CCFD. by Yongan Feng (7345193)

Algorithm training accuracy experiments. by Yingying Liu (360782)

Combination ablation experiments on KDDc99. by Yongan Feng (7345193)

Means plots of genetic algorithm calibration parameters. by Junjie He (700642)

Analysis of algorithm improvement ablation experiments. by Chenghai Yu (21440036)

Ablation experiment for the micro-localization algorithm model. by Zhongjian Xie (4633099)

Ablation experiment for the macro-detection algorithm model. by Zhongjian Xie (4633099)

ASEF algorithm improving the localization error of PCA algorithm. by Na Lin (69470)

Subjects:

The FEM mesh model for the three-layer case, where 7919 degrees of freedom are used. by Xiaogang Li (299205)

Main code. by Jingguo Bi (21439766)

Images of brain tumors used in the experiments and their corresponding histograms. by Jiaqi Ma (773451)

Flowchart of SBOA algorithm. by Xuhao Chen (11815106)

“…Aiming at the problems of restricted solution set exploration, easy to fall into local optimization and slow convergence when solving the inverse kinematics of multi-DOF robotic arm by SBOA, this paper introduces the oppositional variational perturbation, golden sine development and evolutionary strategy to optimize the formation of ISBOA, and verifies its effectiveness through numerical experiments. Simulation experiments using 4, 6, and 7-DOF robotic arms are conducted, with inverse solution results analyzed via PCA dimensionality reduction and K-means clustering, demonstrating the superiority of ISBOA in inverse solution diversity. …”

Comparison of LSTM-DAE ablation experiment results. by Li Yuan (102305)

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Marginal means – Pooled across scenarios. by Mehdi Mourali (10170245)

Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. by Lalit Pandey (13195488)

Underwater shipwreck denoising experiment. by Chuanxi Xing (20141665)

Optimization algorithm parameter settings. by Xuhao Chen (11815106)

“…Aiming at the problems of restricted solution set exploration, easy to fall into local optimization and slow convergence when solving the inverse kinematics of multi-DOF robotic arm by SBOA, this paper introduces the oppositional variational perturbation, golden sine development and evolutionary strategy to optimize the formation of ISBOA, and verifies its effectiveness through numerical experiments. Simulation experiments using 4, 6, and 7-DOF robotic arms are conducted, with inverse solution results analyzed via PCA dimensionality reduction and K-means clustering, demonstrating the superiority of ISBOA in inverse solution diversity. …”

Improve algorithm settings. by Hui Zhao (7395)

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