Odious 发表于 2025-3-21 19:01:36
书目名称Big Data and Social Computing影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0185686<br><br> <br><br>书目名称Big Data and Social Computing影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0185686<br><br> <br><br>书目名称Big Data and Social Computing网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0185686<br><br> <br><br>书目名称Big Data and Social Computing网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0185686<br><br> <br><br>书目名称Big Data and Social Computing被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0185686<br><br> <br><br>书目名称Big Data and Social Computing被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0185686<br><br> <br><br>书目名称Big Data and Social Computing年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0185686<br><br> <br><br>书目名称Big Data and Social Computing年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0185686<br><br> <br><br>书目名称Big Data and Social Computing读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0185686<br><br> <br><br>书目名称Big Data and Social Computing读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0185686<br><br> <br><br>Antigen 发表于 2025-3-21 22:19:28
The Effects of Intervention Strategies for COVID-19 Transmission Control on Campus Activity is critical to understand the transmission risk of COVID-19 under various scenario, especially during public health emergency. Taking the Tsinghua university’s anniversary as a representative case, a set of prevention and control strategies are established and investigated. In the case study, an al过份艳丽 发表于 2025-3-22 03:31:44
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Prediction of Female Fertility Structure and Population Change in China by Modified SIR Modelountries. In recent years, China, where family planning is implemented, has also gradually shown such a trend. The decline of fertility rate limits the further development of the society. In this paper, based on the SIR infectious disease model, we improve the SIR fertility structure model applicablInitiative 发表于 2025-3-22 11:16:45
Generative Adversarial Network for Imputation of Road Network Traffic State Dataffic data, a novel generative adversarial network for the imputation of road network traffic data is proposed in this paper, i.e., GAE-GAN-LSTM. The spatiotemporal characteristics were extracted using a improved graph auto-encoder (GAE), followed by a generative adversarial network (GAN) to generate案发地点 发表于 2025-3-22 16:37:08
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http://reply.papertrans.cn/19/1857/185686/185686_7.pngAnecdote 发表于 2025-3-23 00:45:14
A Secured Deep Reinforcement Learning Model Based on Vertical Federated Learning learning. In this work, a secured DRL based on vertical federated learning (VFL), named VF-DRL, is proposed to protect the model’s information. Specifically, in the proposed VF-DRL, each client trains a partial local model, and uploads the feature embedding cooperatively to a server for global modeAfflict 发表于 2025-3-23 01:54:03
http://reply.papertrans.cn/19/1857/185686/185686_9.pngNmda-Receptor 发表于 2025-3-23 07:43:02
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