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

opalescence

嚴(yán)峻考驗

https://doi.org/10.1007/978-981-97-2187-0fficacy of our approach, we integrate these technological advancements with traditional multi-objective algorithms. Experimental results reveal that these modified algorithms yield superior performance in generating more efficient and effective coal blending solutions for coking plants, as compared

從容

Anhuai Lu,Yan Li,Changqiu Wang,Hongrui Dingmanagement? this study takes 2827 tweets related to the epidemic posted by official government microblogging account, “Wuhan Publishing”, and examines the factors and mechanisms that promote public engagement from the perspective of public value management theory and public sentiment. The theoretica

確保

RNA-Based Mechanisms of Gene Silencing,means clustering method and introduce the Social Value Orientation theory (SVO) to analyze the driving behavior of different vehicles. In the SIC module, we then use Graph Attention Network (GAT) to capture the spatial dependence of different vehicles throughout the time series. In the TP module, we

鎮(zhèn)痛劑

Renato Paro,Ueli Grossniklaus,Anton Wutzhese limitations, this article proposes a policy text multi-dimensional visualization analysis system that incorporates natural language processing technology and data visualization technology. The system enables decision-makers from different regions to learn from each other and those in the same r

Conjuction

https://doi.org/10.1007/978-981-99-0707-6names may have societal consequences in the absence of a corrective mechanism. Arguably, as an exemplar, . could serve as a destigmatized replacement for .. The illustrated rationales and approaches could provide hallmark references to the ethical introspection of naming practices and pertinent cred

離開可分裂

否決

Aims, Methods, and Areas of Ethology,s of three modules: difference-preserved graph embedding, fine-grained influence representation, and learning-based trajectory calculation. To test the effectiveness of our framework in more situations, we collect and construct a new temporal graph dataset from the real world, named AIPatent, which

Ondines-curse

https://doi.org/10.1007/978-1-4684-1054-9tion after passing the variant k-means. Our proposed method shows excellent performance on numerous realistic datasets and explores the implied feature relationships between time series using graphs. With its efficiency and interpretability, our model provides some theoretical support and experimental validation for cyberspace security techniques.

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