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

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书目名称Intelligent Information Processing XII
副标题13th IFIP TC 12 Inte
编辑Zhongzhi Shi,Jim Torresen,Shengxiang Yang
视频video
丛书名称IFIP Advances in Information and Communication Technology
图书封面Titlebook: Intelligent Information Processing XII; 13th IFIP TC 12 Inte Zhongzhi Shi,Jim Torresen,Shengxiang Yang Conference proceedings 2024 IFIP Int
描述The two-volume set IFIP AICT 703 and 704 constitutes the refereed conference proceedings of the 13th IFIP TC 12 International Conference on Intelligent Information Processing XII, IIP 2024, held in Shenzhen, China, during May 3–6, 2024. .The 49 full papers and 5 short papers presented in these proceedings were carefully reviewed and selected from 58 submissions. .The papers are organized in the following topical sections: .Volume I: Machine Learning; Natural Language Processing; Neural and Evolutionary Computing; Recommendation and Social Computing; Business Intelligence and Risk Control; and Pattern Recognition..Volume II: Image Understanding..
出版日期Conference proceedings 2024
关键词Computer Science; Informatics; Conference Proceedings; Research; Applications
版次1
doihttps://doi.org/10.1007/978-3-031-57919-6
isbn_softcover978-3-031-57921-9
isbn_ebook978-3-031-57919-6Series ISSN 1868-4238 Series E-ISSN 1868-422X
issn_series 1868-4238
copyrightIFIP International Federation for Information Processing 2024
The information of publication is updating

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