Titlebook: Intelligent Information Processing XII; 13th IFIP TC 12 Inte Zhongzhi Shi,Jim Torresen,Shengxiang Yang Conference proceedings 2024 IFIP Int

controllers

書目名稱Intelligent Information Processing XII影響因子(影響力)




書目名稱Intelligent Information Processing XII影響因子(影響力)學(xué)科排名




書目名稱Intelligent Information Processing XII網(wǎng)絡(luò)公開(kāi)度




書目名稱Intelligent Information Processing XII網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Intelligent Information Processing XII被引頻次




書目名稱Intelligent Information Processing XII被引頻次學(xué)科排名




書目名稱Intelligent Information Processing XII年度引用




書目名稱Intelligent Information Processing XII年度引用學(xué)科排名




書目名稱Intelligent Information Processing XII讀者反饋




書目名稱Intelligent Information Processing XII讀者反饋學(xué)科排名

creatine-kinase

cluster

艦旗

消耗

Stephen S. Aremu,Aboozar Taherkhani,Chang Liu,Shengxiang Yang

motivate

儲(chǔ)備

Recognition of Signal Modulation Pattern Based on Multi-task Self-supervised Learningssential signal characteristics through contrastive learning to obtain a robust pre-trained model. We then fine-tune the model with a small account of labeled modulation samples to better adapt it to downstream tasks. Experimental results indicate that in scenarios with limited sample availability,

混亂生活

Utilizing Attention for?Continuous Human Action Recognition Based on?Multimodal Fusion of?Visual andttention mechanism into inertial 2D CNN, and perform decision level fusion on it. Experimental verification was conducted on the C-MHAD public dataset. The experiment shows that the proposed VIANet outperforms previous baseline in multi-modal human action recognition.

Talkative

Negligible

CAPPIMU: A Composite Activities Dataset for?Human Activity Recognition Utilizing Plantar Pressure anrmation for activity recognition tasks. Moreover, we conduct a thorough examination of the classification effects exerted by plantar pressure and inertial data from various locations on the recognition of activities, utilizing a selection of widely-recognized deep learning models. The experimental r