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Tropical Cyclone Forecast Using Multitask Deep Learning Framework

  • Published:2022 Issue: Volume:19 Page:1-5
  • ISSN:1545-598X
  • Container-title:IEEE Geoscience and Remote Sensing Letters
  • language:
  • Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Wu YuqiaoORCID,Geng Xiaoyi,Liu Zili,Shi ZhenweiORCID

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Extraction of building footprint using MASK-RCNN for high resolution aerial imagery;Environmental Research Communications;2024-07-01

2. A Novel Cyclone Detection System Using Deep Learning;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

3. Integrating Deep Learning Techniques for Enhanced Cyclone Prediction and its Impact on Air Quality Index Utilizing Satellite Imagery;2024 IEEE Students Conference on Engineering and Systems (SCES);2024-06-21

4. Data-Driven Weather Forecasting and Climate Modeling from the Perspective of Development;Atmosphere;2024-06-06

5. A Physics-informed Deep-learning Intensity Prediction Scheme for Tropical Cyclones over the Western North Pacific;Advances in Atmospheric Sciences;2024-05-20
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