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Titlebook: Big Data and Social Computing; 8th China National C Xiaofeng Meng,Yang Chen,Zi-Ke Zhang Conference proceedings 2023 The Editor(s) (if appli

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發(fā)表于 2025-3-28 16:34:21 | 只看該作者
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發(fā)表于 2025-3-28 20:16:08 | 只看該作者
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發(fā)表于 2025-3-28 23:40:08 | 只看該作者
Intelligent Government Decision-Making: A Multidimensional Policy Text Visualization Analysis Systemlture, based on national, ethnic, and public interests, as well as the current realities. The rationality and scientificity of government decisions are essential to social development and people’s well-being. However, the increasing complexity of social and economic conditions requires comprehensive
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發(fā)表于 2025-3-29 03:31:37 | 只看該作者
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發(fā)表于 2025-3-29 07:49:47 | 只看該作者
A Root Cause Localization Method of Base Station Cells with Poor Quality Using AI?+?SHAPeliness and stability of the data transmission. For base station cells with poor quality, if the root cause of poor quality can be found, the problem can be solved effectively and pertinently. Traditional methods rely on experts and require a large amount of on-site survey work in root cause analysi
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發(fā)表于 2025-3-29 13:03:39 | 只看該作者
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發(fā)表于 2025-3-29 19:34:38 | 只看該作者
Traffic State Propagation Prediction Based on SAE-LSTM-SAD Under the SCATSTransportation Systems (ITS). In this paper, a hybrid deep learning framework is developed that incorporates the stacked auto encoder (SAE) model, the long short-term memory model and the stacked auto decoder (SAD) model to learn the traffic state propagation mechanism and realize the prediction of
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發(fā)表于 2025-3-29 22:29:59 | 只看該作者
Citation Prediction via?Influence Representation Using Temporal Graphsrch direction selection, and technology policymaking. Citation trajectory prediction is one of the most popular tasks in this area. One major challenge of this task is to quantify the influence of publications with integrated structural and temporal features from evolutionary citation graphs. Recent
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發(fā)表于 2025-3-30 02:04:36 | 只看該作者
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發(fā)表于 2025-3-30 07:33:17 | 只看該作者
Introduction to Environmental Modeling,PEC-19). This method constructs a multi-source enterprise knowledge graph by analyzing and combining the specific impact of COVID-19 on power consumption, and designs the Connection Count Calculation of PEC-19 (3CP) algorithm and Similarity Degree Calculation of PEC-19 (SDCP) algorithm based on the
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