controllers
发表于 2025-3-21 16:25:12
书目名称Intelligent Information Processing XII影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0469716<br><br> <br><br>书目名称Intelligent Information Processing XII影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0469716<br><br> <br><br>书目名称Intelligent Information Processing XII网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0469716<br><br> <br><br>书目名称Intelligent Information Processing XII网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0469716<br><br> <br><br>书目名称Intelligent Information Processing XII被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0469716<br><br> <br><br>书目名称Intelligent Information Processing XII被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0469716<br><br> <br><br>书目名称Intelligent Information Processing XII年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0469716<br><br> <br><br>书目名称Intelligent Information Processing XII年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0469716<br><br> <br><br>书目名称Intelligent Information Processing XII读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0469716<br><br> <br><br>书目名称Intelligent Information Processing XII读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0469716<br><br> <br><br>
creatine-kinase
发表于 2025-3-21 20:33:33
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cluster
发表于 2025-3-22 03:27:22
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舰旗
发表于 2025-3-22 07:21:05
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消耗
发表于 2025-3-22 09:31:59
Stephen S. Aremu,Aboozar Taherkhani,Chang Liu,Shengxiang Yang
motivate
发表于 2025-3-22 15:09:59
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储备
发表于 2025-3-22 19:34:35
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,
混乱生活
发表于 2025-3-23 00:04:14
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
发表于 2025-3-23 03:30:56
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Negligible
发表于 2025-3-23 07:03:14
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