TrajRL-TFF: A Trajectory Representation Learning Method Based on Time-domain and Frequency-domain Feature Fusion

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Detalhes bibliográficos
Publicado no:	Computational Urban Science vol. 5, no. 1 (Dec 2025), p. 60
Autor principal:	Liu, Kang
Outros Autores:	Lin, Zhiying, Zhu, Kemin, Yin, Ling, Zheng, Jianze, Feng, Yongheng, Wang, Shaohua, Zhang, Yan
Publicado em:	Springer Nature B.V.
Assuntos:	Fourier transforms Self-supervised learning Traffic Frequency domain analysis Recurrent neural networks Time domain analysis Design Learning Encoding-Decoding Sequences Machine learning Time series Coders Urban areas Neural networks Representations Semantics Economic
Acesso em linha:	Citation/Abstract Full Text Full Text - PDF
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