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Zilin Zhao, Zhi Cai, Mengmeng Chang and Zhiming Ding
Unconventional events exacerbate the imbalance between regional transportation demand and limited road network resources. Scientific and efficient path planning serves as the foundation for rapidly restoring equilibrium to the road network. In real large...
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Huaqing Cheng, Shengquan Liu, Weiwei Sun and Qi Sun
Topic models can extract consistent themes from large corpora for research purposes. In recent years, the combination of pretrained language models and neural topic models has gained attention among scholars. However, this approach has some drawbacks: in...
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Redwan Ahmad, Mariia Zhuldybina, Xavier Ropagnol, Ngoc Duc Trinh, Chloé Bois, Juan Schneider and François Blanchard
We designed and fabricated a terahertz (THz) frequency selective surface (FSS) based on two distinct additive manufacturing technologies, namely, printable electronics (PE) and three-dimensional (3D) printing. Silver nanoparticle ink was printed on a pol...
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Xihou Zhang, Dingding Han, Xiaobo Zhang and Leheng Fang
The increasing urban traffic problems have made the transportation system require a large amount of data. Aiming at the current problems of data types redundancy and low coordination rate of intelligent transportation systems (ITS), this paper proposes a...
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Shiqi Deng, Zhiyu Sun, Ruiyan Zhuang and Jun Gong
Anomaly detection has a wide range of applications and is especially important in industrial quality inspection. Currently, many top-performing anomaly detection models rely on feature embedding-based methods. However, these methods do not perform well o...
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