Tropical Cyclone intensity prediction based on hybrid learning techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12040-022-02042-5.pdf
Reference23 articles.
1. Baik J J and Hwang H S 1998 Tropical cyclone intensity prediction using regression method and neural network; J. Meteorol. Soc. Japan 76(5) 711–717.
2. Buranasing A and Prayote A 2014 Storm intensity estimation using symbolic aggregate approximation and artificial neural network; International Computer Science and Engineering Conference (ICSEC 2014: International Track Khon Kaen, Thailand).
3. Chen B, Chen B F and Lin H T 2018 Rotation-blended CNNs on a new open dataset for tropical cyclone image-to-intensity regression; Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 90–99.
4. Chen B F, Chen B, Lin H T and Elsberry R L 2019 Estimating tropical cyclone intensity by satellite imagery utilizing convolutional neural networks; Wea. Forecasting 34(2) 447–465.
5. Combinido J S, Mendoza J R and Aborot J 2018 A convolutional neural network approach for estimating tropical cyclone intensity using satellite-based infrared images; 24th International Conference on Pattern Recognition (ICPR), pp. 1474–1480.
Cited by 3 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. Oceanic response to tropical cyclone in the northern South China Sea observed by underwater gliders during 2018 and 2020;Deep Sea Research Part I: Oceanographic Research Papers;2024-11
2. Advanced hybrid CNN-Bi-LSTM model augmented with GA and FFO for enhanced cyclone intensity forecasting;Alexandria Engineering Journal;2024-04
3. Comparative Analysis of Machine Learning Algorithms to predict the Tropical Cyclones;2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI);2023-12-21
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3