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Path2Vec: A Deep Representation Learning Method for Trajectory Feature Extraction and HYSPLIT Uncertainty Quantification

Ke Ren

Ke Ren

Faculty of Computer and Software Engineering, Huaiyin Institute of TechnologyHuaian, China
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Ren, Ke
, 
Chengyao Jin

Chengyao Jin

Faculty of Computer and Software Engineering, Huaiyin Institute of TechnologyHuaian, China
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Jin, Chengyao
, 
Yuxuan Song

Yuxuan Song

Faculty of Computer and Software Engineering, Huaiyin Institute of TechnologyHuaian, China
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Song, Yuxuan
, 
Yang Xu

Yang Xu

Faculty of Computer and Software Engineering, Huaiyin Institute of TechnologyHuaian, China
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Xu, Yang
 and 
Huijie Zhang

Huijie Zhang

School of Information Science and Technology, Northeast Normal UniversityChangchun, China
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Zhang, Huijie
  
Aug 21, 2024
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Published Online: Aug 21, 2024
Received: May 05, 2024
Accepted: Jul 30, 2024
DOI: https://doi.org/10.2478/amns-2024-2258
Keywords
© 2024 Ke Ren et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Ren, Ke
Faculty of Computer and Software Engineering, Huaiyin Institute of TechnologyHuaian, China
Jin, Chengyao
Faculty of Computer and Software Engineering, Huaiyin Institute of TechnologyHuaian, China
Song, Yuxuan
Faculty of Computer and Software Engineering, Huaiyin Institute of TechnologyHuaian, China
Xu, Yang
Faculty of Computer and Software Engineering, Huaiyin Institute of TechnologyHuaian, China
Zhang, Huijie
School of Information Science and Technology, Northeast Normal UniversityChangchun, China
Language:
English
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Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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