Deep Learning Techniques in Cyclone Detection with Cyclone Eye Localization Based on Satellite Images

Author:

Haque Md. NazmulORCID,Ashfaqul Adel A. A. M.ORCID,Alam Kazi SaeedORCID

Publisher

Springer Singapore

Cited by 7 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. A Deep Learning Based Novel Approach For Identifying Cyclone with XVNET Framework;2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI);2024-04-17

2. Determination of Low-Intensity Tropical Cyclone Centers in Geostationary Satellite Images Using a Physics-Enhanced Deep-Learning Model;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Classification and detection of natural disasters using machine learning and deep learning techniques: A review;Earth Science Informatics;2023-12-28

4. An Ensemble Machine Learning Approach for Tropical Cyclone Localization and Tracking From ERA5 Reanalysis Data;Earth and Space Science;2023-11

5. Analysis of Coloboma Defected Eyes using Automated Pre-trained CNN Models;2022 3rd International Conference on Computation, Automation and Knowledge Management (ICCAKM);2022-11-15

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