Water Quality Prediction using Machine Learning: A Comparative Study-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Water Quality Prediction using Machine Learning: A Comparative Study

Published:2023-08-23 Issue: Volume: Page:
ISSN:
Container-title:2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
language:
Short-container-title:

Author:

M Anita¹,Dinesh M. G.²,Lakshmipriya C³,Sharmila V⁴,Muthuram A.⁵,R Siva Subramanian.⁶

Affiliation:

1. Easwari Engineering College,Dept of IT

2. EASA College of Engineering and Technology,Dept of CSE

3. S.A Engineering College,Dept of CSE

4. R.M.D Engineering College,Dept of CSE

5. SRM Institute of Science and Technology-Kattankulathur,Dept of Aerospace Engineering

6. RMK College of Engg and Tech,Dept of CSE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10250420/10250450/10250743.pdf?arnumber=10250743

Reference15 articles.

1. Secchi Disk Depth Estimation from Water Quality Parameters: Artificial Neural Network versus Multiple Linear Regression Models?

2. Water resources management in the urban agglomeration of the Lake Biwa region, Japan: An ecosystem services-based sustainability assessment

3. A cooperative-competitive master-slave global-best harmony search for ANN optimization and water-quality prediction

4. New modelling strategy based on radial basis function neural network (RBFNN) for predicting dissolved oxygen concentration using the components of the Gregorian calendar as inputs: case study of Clackamas River, Oregon, USA

5. Alleviating NB conditional independence using Multi-stage variable selection(MSVS): Banking customer dataset application

Cited by 2 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. Assessing Water Quality With Machine Learning;Advances in Environmental Engineering and Green Technologies;2024-06-07

2. Hybrid Model Fusion: Enhancing Water Quality Prediction using Ensemble Modelling;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

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