Titlebook: Big Data and Social Computing; 7th China National C Xiaofeng Meng,Qi Xuan,Zi-Ke Zhang Conference proceedings 2022 The Editor(s) (if applica

Odious

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




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




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




書目名稱Big Data and Social Computing被引頻次




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




書目名稱Big Data and Social Computing年度引用




書目名稱Big Data and Social Computing年度引用學(xué)科排名




書目名稱Big Data and Social Computing讀者反饋




書目名稱Big Data and Social Computing讀者反饋學(xué)科排名

Antigen

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

過份艷麗

LURE

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 applicabl

Initiative

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

案發(fā)地點(diǎn)

Water-Brash

Anecdote

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 mode

Afflict

Nmda-Receptor