Accurate Dissolved Oxygen Prediction for Aquaculture Using Stacked Ensemble Machine Learning Model
Author:
Funder
Science for Equity, Empowerment and Development Division
Publisher
Springer Science and Business Media LLC
Subject
Engineering (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s40009-023-01213-2.pdf
Reference20 articles.
1. Jennings S, Stentiford GD, Leocadio AM, Jeffery KR et al (2016) Aquatic food security: insights into challenges and solutions from an analysis of interactions between fisheries, aquaculture, food safety, human health, fish and human welfare, economy and environment. Fish Fish 17(4):893–938
2. Oddsson G (2020) A definition of aquaculture intensity based on production functions-the aquaculture production intensity scale (apis). Water 12(3):765
3. Ayele HS, Atlabachew M (2021) Review of characterization, factors, impacts, and solutions of lake eutrophication: lesson for lake Tana, Ethiopia. Environ Sci Pollut Res 28(12):14233–14252
4. Martos-Sitcha JA, Mancera JM, Prunet P, Magnoni LJ (2020) Editorial: welfare and stressors in fish: challenges facing aquaculture. Front Physiol 11:162
5. Boyd CE, Torrans EL, Tucker CS (2018) Dissolved oxygen and aeration in ictalurid catfish aquaculture. J World Aquac Soc 49(1):7–70
Cited by 5 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. Integrated ensemble learning approach for multi-depth water quality estimation in reservoir environments;Journal of Water Process Engineering;2024-09
2. A multi-model ensemble approach for reservoir dissolved oxygen forecasting based on feature screening and machine learning;Ecological Indicators;2024-09
3. Accurate Forecast of Water Quality Index for Cholera Diseases using Two-Layered Stacked Machine Learning Algorithms;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28
4. Forecasting DO of the river-type reservoirs using input variable selection and machine learning techniques - taking Shuikou reservoir in the Minjiang River as an example;Ecological Indicators;2023-11
5. A deep learning-enabled IoT framework for early hypoxia detection in aqua water using light weight spatially shared attention-LSTM network;The Journal of Supercomputing;2023-08-19
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