Coupling machine learning methods with wavelet transforms and the bootstrap and boosting ensemble approaches for drought prediction
Author:
Funder
NSERC
CFI
Publisher
Elsevier BV
Subject
Atmospheric Science
Reference67 articles.
1. Comparison of multivariate adaptive regression splines with coupled wavelet transform artificial neural networks for runoff forecasting in Himalayan micro-watersheds with limited data;Adamowski;J. Hydroinf.,2012
2. Influence of the 11year solar cycle on annual streamflow maxima in Southern Canada;Adamowski;J. Hydrol.,2012
3. Influence of trend on short duration design storms;Adamowski;Water Resour. Manag.,2010
4. Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds;Adamowski;J. Hydrol.,2010
5. Development of a new method of wavelet aided trend detection and estimation;Adamowski;Hydrol. Process.,2009
Cited by 134 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. Wavelet-Based precipitation preprocessing for improved drought Forecasting: A Machine learning approach using tunable Q-factor wavelet transform and maximal overlap discrete wavelet transform;Expert Systems with Applications;2024-12
2. Characterizing drought prediction with deep learning: A literature review;MethodsX;2024-12
3. A novel metaheuristic optimization and soft computing techniques for improved hydrological drought forecasting;Physics and Chemistry of the Earth, Parts A/B/C;2024-10
4. Data‐driven artificial intelligence‐based streamflow forecasting, a review of methods, applications, and tools;JAWRA Journal of the American Water Resources Association;2024-09
5. Domain knowledge-driven variational recurrent networks for drought monitoring;Remote Sensing of Environment;2024-09
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