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Large language model-driven probabilistic trajectory prediction in the Internet of things using spatio-temporal encoding and normalizing flows

Xiaoliang Wang Liming Xu Lian Zhou Yuzhen Liu Neal N.Xiong Kuan-Ching Li

数字通信与网络（英文）2026，Vol.12Issue(6)：903-915,13.

数字通信与网络（英文）2026，Vol.12Issue(6)：903-915,13.DOI:10.1016/j.dcan.2025.03.004

Large language model-driven probabilistic trajectory prediction in the Internet of things using spatio-temporal encoding and normalizing flows

Xiaoliang Wang ¹Liming Xu ²Lian Zhou ²Yuzhen Liu ²Neal N.Xiong ³Kuan-Ching Li⁴

作者信息

1. School of Computer Science and Engineering,Hunan University of Science and Technology,Xiangtan 411201,China||Sanya Institute of Hunan University of Science and Technology,Sanya 572024,China
2. School of Computer Science and Engineering,Hunan University of Science and Technology,Xiangtan 411201,China||Hunan Key Laboratory for Service Computing and Novel Software Technology,Xiangtan 411201,China
3. Department of Computer,Mathematical and Physical Sciences,Sul Ross State University,Alpine TX 79830,USA
4. Dept of Computer Science and Information Engineering,Providence University,Taichung 43301,Taiwan,Province of China
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摘要

关键词

Internet of things/Large language models/Normalizing flows/Spatio-temporal encoding/Trajectory prediction

Key words

Internet of things/Large language models/Normalizing flows/Spatio-temporal encoding/Trajectory prediction

引用本文复制引用

Xiaoliang Wang,Liming Xu,Lian Zhou,Yuzhen Liu,Neal N.Xiong,Kuan-Ching Li..Large language model-driven probabilistic trajectory prediction in the Internet of things using spatio-temporal encoding and normalizing flows[J].数字通信与网络（英文）,2026,12(6):903-915,13.

基金项目

This research is supported by the Scientific Research Fund of the National Natural Science Foundation of China under Grant 62372168,the Hunan Provincial Natural Science Foundation of China under Grant 2023JJ30266,the Research Project on Teaching Reform in Hunan Province under Grant HNJG-2022-0791,Hunan University of Science and Technology under Grant 2022-44-8,and the National Social Sci-ence Funds of China under Grant 19BZX044. （）

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