A systematic review on machine learning algorithms used for forecasting lake‐water level fluctuations-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A systematic review on machine learning algorithms used for forecasting lake‐water level fluctuations

Published:2022-07-21 Issue:24 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Sannasi Chakravarthy S. R.¹^ORCID,Bharanidharan N.²,Rajaguru Harikumar¹

Affiliation:

1. Department of ECE Bannari Amman Institute of Technology Sathyamangalam India

2. Department of ECE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7231

Reference108 articles.

1. Holocene climate variability as reflected by mid-European lake-level fluctuations and its probable impact on prehistoric human settlements

2. Environmental controls of epilithic diatom depth-distribution in an oligotrophic lake characterized by marked water-level fluctuations

3. Relative lake level fluctuations and their influence on productivity and resilience in tropical lakes and reservoirs

4. Water-level fluctuations regulate the structure and functioning of natural lakes

5. Water-level fluctuations are key for phytoplankton taxonomic communities and functional groups in Poyang Lake

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. Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer;BMC Medical Imaging;2024-04-08

2. A Comprehensive Survey of Machine Learning Methodologies with Emphasis in Water Resources Management;Applied Sciences;2023-11-08

3. A simplified modeling approach for optimization of urban river systems;Journal of Hydrology;2023-08

4. Integrating ICESat-2 altimetry and machine learning to estimate the seasonal water level and storage variations of national-scale lakes in China;Remote Sensing of Environment;2023-08

5. A systematic literature review on lake water level prediction models;Environmental Modelling & Software;2023-05

同舟云学术

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