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

Algorithm training accuracy experiments. حسب Yingying Liu (360782)

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

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

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

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

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

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

الموضوعات:

Main code. حسب Jingguo Bi (21439766)

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

Flowchart of SBOA algorithm. حسب 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. حسب Li Yuan (102305)

الموضوعات:

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

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

Underwater shipwreck denoising experiment. حسب Chuanxi Xing (20141665)

Optimization algorithm parameter settings. حسب 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. حسب Hui Zhao (7395)

الموضوعات:

Dynamic window based median filtering algorithm. حسب Li Yuan (102305)

الموضوعات:

Comparison of signal AMC performance of different algorithms. حسب Li Yuan (102305)

الموضوعات:

Performance comparison of different feature clustering algorithms. حسب Li Yuan (102305)

الموضوعات: