Introducing a Novel Hybrid Machine Learning Model and Developing its Performance in Estimating Water Quality Parameters
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11269-022-03238-6.pdf
Reference45 articles.
1. Abba SI, Abdulkadir RA, Sammen SS, Pham QB, Lawan AA, Esmaili P, Malik A, Al-Ansari N (2022) Integrating feature extraction approaches with hybrid emotional neural networks for water quality index modeling. Appl Soft Comput 114:108036. https://doi.org/10.1016/j.asoc.2021.108036
2. Abdel-Fattah MK, Mokhtar A, Abdo AI (2021) Application of neural network and time series modeling to study the suitability of drain water quality for irrigation: a case study from Egypt. Environ Sci Pollut Res 28:898–914. https://doi.org/10.1007/s11356-020-10543-3
3. Abualigah L, Diabat A, Mirjalili S, Elaziz MA, Gandomi AH (2021a) The arithmetic optimization algorithm. Comput Methods Appl Mech Engrg 376:113609. https://doi.org/10.1016/j.cma.2020.113609
4. Abualigah L, Yousri D, Elaziz MA, Ewees AA, Al-qaness MAA, Gandomi AH (2021b) Aquila optimizer: a novel meta-heuristic optimization algorithm. Comput Ind Eng 157:107250. https://doi.org/10.1016/j.cie.2021.107250
5. Ahmadianfar I, Heidari AA, Gandomi AH, Chu X, Chen H (2021) RUN beyond the metaphor: an efficient optimization algorithm based on Runge Kutta method. Expert Syst Appl 181:115079. https://doi.org/10.1016/j.eswa.2021.115079
Cited by 18 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. Evaluation of driven piles’ load capacity by optimization-based prediction algorithms;International Journal on Interactive Design and Manufacturing (IJIDeM);2024-06-09
2. 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
3. A Critical Review of the Modelling Tools for the Reactive Transport of Organic Contaminants;Applied Sciences;2024-04-25
4. Chemical synthesis of ZnO, CuO, MnO and FeO Nano adsorbent and their application in anionic reactive blue turquoise 71 dye (RB-71 dye) and real effluents remediation: Batch adsorption and column studies;Journal of Dispersion Science and Technology;2024-03-13
5. Advances in machine learning and IoT for water quality monitoring: A comprehensive review;Heliyon;2024-03
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