Toward Design of Internet of Things and Machine Learning-Enabled Frameworks for Analysis and Prediction of Water Quality

Author:

Rahu Mushtaque Ahmed1ORCID,Chandio Abdul Fattah1,Aurangzeb Khursheed2ORCID,Karim Sarang3ORCID,Alhussein Musaed2ORCID,Anwar Muhammad Shahid4ORCID

Affiliation:

1. Department of Electronic Engineering, Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah, Pakistan

2. Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

3. Department of Telecommunication Engineering, Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah, Pakistan

4. Department of AI and Software, Gachon University, Seongnam-si, South Korea

Funder

King Saud University, Riyadh, Saudi Arabia, through the Researchers Supporting Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference99 articles.

1. A comprehensive method for improvement of water quality index (WQI) models for coastal water quality assessment

2. Review of data preprocessing techniques in data mining;alasadi;J Eng Appl Sci,2017

3. Water quality index with missing parameters;srivastava;Int J Res Eng Technol,2013

4. Water Quality Assessment in Terms of Water Quality Index

5. Long-Range IoT Technologies: The Dawn of LoRa™

Cited by 8 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. Enhancing water quality monitoring through the integration of deep learning neural networks and fuzzy method;Marine Pollution Bulletin;2024-09

2. An optimized framework for metal ion analysis in automobile industrial sewage;Journal of the Indian Chemical Society;2024-08

3. Towards Precise Water Quality Assessment : A Deep Learning Approach with Feature Selection in Smart Monitoring Systems;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-07-13

4. Water Quality Monitoring and Assessment for Efficient Water Resource Management through Internet of Things and Machine Learning Approaches for Agricultural Irrigation;Water Resources Management;2024-06-03

5. Data-Driven Models for Water Potability: A Machine Learning Approach;2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS);2024-03-14

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