Tracing-U-Net: An Attention Based U-Net model for Air Pollution Source Tracing from Sparse Dataset-Reference-Cited by-同舟云学术

Tracing-U-Net: An Attention Based U-Net model for Air Pollution Source Tracing from Sparse Dataset

Published:2024-05-22 Issue: Volume: Page:83-90
ISSN:
Container-title:Proceedings of the 2024 International Conference on Information Technology, Data Science, and Optimization
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Author:

Hao Yan¹^ORCID,Bi Chongke¹^ORCID,Yang Lu²^ORCID,Qiu Xiaobin³^ORCID,Li Yunlong⁴^ORCID,Yu Ce¹^ORCID

Affiliation:

1. Tianjin University, China

2. Tianjin University of Technology, China

3. Tianjin Key Laboratory for Oceanic Meteorology and Tianjin Institute of Meteorological Science, China

4. National SuperComputer Center in Tianjin, China

Funder

the National Key R&D Program of China

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3658549.3658570

Reference20 articles.

1. and and and. 0. A ConvGRU-Based Visual Analysis System for Air Pollution Prediction. Journal of Computer-Aided Design & Computer Graphics (0). https://www.jcad.cn/en/article/id/74a09333-915b-42e6-b43c-56b212e67577

2. Meissam Bahlali. 2017. Adaptation of the Lagrangian module of a CFD code for atmospheric dispersion of pollutants in complex urban geometries and comparison with existing Eulerian results.

3. A hybrid CFD RANS/Lagrangian approach to model atmospheric dispersion of pollutants in complex urban geometries

4. Review of the Governing Equations, Computational Algorithms, and Other Components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System

5. Review of the Governing Equations, Computational Algorithms, and Other Components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System