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Titlebook: Big Data and Social Computing; 9th China National C Xiaofeng Meng,Zhidong Cao,Xiu-Xiu Zhan Conference proceedings 2024 The Editor(s) (if ap

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樓主
發(fā)表于 2025-3-21 19:45:43 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Big Data and Social Computing
期刊簡稱9th China National C
影響因子2023Xiaofeng Meng,Zhidong Cao,Xiu-Xiu Zhan
視頻videohttp://file.papertrans.cn/193/192669/192669.mp4
學(xué)科分類Communications in Computer and Information Science
圖書封面Titlebook: Big Data and Social Computing; 9th China National C Xiaofeng Meng,Zhidong Cao,Xiu-Xiu Zhan Conference proceedings 2024 The Editor(s) (if ap
影響因子.This book constitutes the refereed proceedings of the 9th China National Conference on Big Data and Social Computing, BDSC 2024, held in Harbin, China, during August 8–10, 2024...The 28 full papers presented in this volume were carefully reviewed and selected from a total of 141 submissions. The papers in the volume are organized according to the following topics:?digital society and public security;?modelling and simulation of social systems;?internet intelligent algorithm governance;?social network and group behavior;?innovation, risks, and network security of large language models; and?artificial intelligence and cognitive science..
Pindex Conference proceedings 2024
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書目名稱Big Data and Social Computing影響因子(影響力)




書目名稱Big Data and Social Computing影響因子(影響力)學(xué)科排名




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書目名稱Big Data and Social Computing網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Big Data and Social Computing被引頻次學(xué)科排名




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沙發(fā)
發(fā)表于 2025-3-21 20:52:57 | 只看該作者
Steuern und Regeln von Werkzeugmaschinenat the model based on the fusion of trajectory and physiological features outperformed, with an average detection F1 score of 80.31%, average precision of 79.27%, and average recall of 82.71%. The findings of this study suggest promising applications for fatigue driving detection in real-world driving scenarios.
板凳
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地板
發(fā)表于 2025-3-22 05:13:27 | 只看該作者
Intelligent Fatigue Driving Detection Method Based on Fusion of Smartphone and Smartwatch Dataat the model based on the fusion of trajectory and physiological features outperformed, with an average detection F1 score of 80.31%, average precision of 79.27%, and average recall of 82.71%. The findings of this study suggest promising applications for fatigue driving detection in real-world driving scenarios.
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發(fā)表于 2025-3-22 11:28:01 | 只看該作者
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發(fā)表于 2025-3-22 15:38:09 | 只看該作者
Conference proceedings 2024pers in the volume are organized according to the following topics:?digital society and public security;?modelling and simulation of social systems;?internet intelligent algorithm governance;?social network and group behavior;?innovation, risks, and network security of large language models; and?artificial intelligence and cognitive science..
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發(fā)表于 2025-3-22 19:40:40 | 只看該作者
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發(fā)表于 2025-3-23 00:59:31 | 只看該作者
Early Warning Methods Based on a Real Time Series Dataset: A Comparative Studys models is conducted, ranging from traditional methods to advanced machine learning networks. The findings revealed that in certain instances, the performance of complex models did not significantly surpass that of simpler methods. This insight is particularly beneficial for the development of cost-effective early warning systems.
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發(fā)表于 2025-3-23 08:50:49 | 只看該作者
Conference proceedings 2024a, during August 8–10, 2024...The 28 full papers presented in this volume were carefully reviewed and selected from a total of 141 submissions. The papers in the volume are organized according to the following topics:?digital society and public security;?modelling and simulation of social systems;?i
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