Comparison of Augmented Joint Kinematics+MFM+Gate+BiLSTM+Attn-GCN+KT with state-of-the-art methods.
收藏Figshare2025-11-07 更新2026-04-28 收录
下载链接：
https://figshare.com/articles/dataset/Comparison_of_Augmented_Joint_Kinematics_MFM_Gate_BiLSTM_Attn-GCN_KT_with_state-of-the-art_methods_/30569354
下载链接
链接失效反馈官方服务：
资源简介：
This table compares our model’s performance with various existing deep learning approaches, demonstrating its superior accuracy and efficiency.
创建时间：
2025-11-07
