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Wenjing Li and Zihao Luo
Predicting traffic accidents involves analyzing historical data, determining the relevant factors affecting the occurrence of traffic accidents, and predicting the likelihood of future traffic accidents. Most of the previous studies used statistical meth...
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Lingxiang Wei, Dongjun Guo, Zhilong Chen, Jincheng Yang and Tianliu Feng
Rational use of urban underground space (UUS) and public transportation transfer underground can solve urban traffic problems. Accurate short-term prediction of passenger flow can ensure the efficient, safe, and comfortable operation of subway stations. ...
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Yinglin Wang and Xinyu Xu
Reasoning on temporal knowledge graphs, which aims to infer new facts from existing knowledge, has attracted extensive attention and in-depth research recently. One of the important tasks of reasoning on temporal knowledge graphs is entity prediction, wh...
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Lorenzo Ricciardi Celsi, Andrea Caliciotti, Matteo D'Onorio, Eugenio Scocchi, Nour Alhuda Sulieman and Massimo Villari
The paper proposes a data-driven strategy for predicting technical ticket reopening in the context of customer service for telecommunications companies providing 5G fiber optic networks. Namely, the main aim is to ensure that, between end user and servic...
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Sujit Bebortta, Saneev Kumar Das, Meenakshi Kandpal, Rabindra Kumar Barik and Harishchandra Dubey
Several real-world applications involve the aggregation of physical features corresponding to different geographic and topographic phenomena. This information plays a crucial role in analyzing and predicting several events. The application areas, which o...
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