Input variable selection using machine learning and global sensitivity methods for the control of sludge bulking in a wastewater treatment plant
Author:
Funder
Agencija za raziskovalno dejavnost Republike Slovenije
Publisher
Elsevier BV
Subject
Computer Science Applications,General Chemical Engineering
Reference38 articles.
1. Hyperspectral remote sensing for assessment of chlorophyll sufficiency levels in mature oil palm (Elaeis guineensis) based on frond numbers: analysis of decision tree and random forest;Amirruddin;Comput. Electron. Agric.,2020
2. Variable selection in regression—A tutorial;Andersen;J Chemom,2010
3. Modeling and optimization of activated sludge bulking for a real wastewater treatment plant using hybrid artificial neural networks-genetic algorithm approach;Bagheri;Process Saf. Environ. Prot.,2015
4. Sludge bulking analysis and forecasting: application of system identification and artificial neural computing technologies;Capodaglio;Water Res.,1991
5. A novel fault identification and root-causality analysis of incipient faults with applications to wastewater treatment processes;Cheng;Chemom. Intell. Lab. Syst.,2019
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. New insight to the enriched microorganisms driven by pollutant concentrations and types for industrial and domestic wastewater via distinguishing the municipal wastewater treatment plants;Environmental Pollution;2024-11
2. Performance prediction of sludge volume index of oxygenic photogranule based wastewater treatment system using machine learning algorithms;Journal of Water Process Engineering;2024-09
3. An integrated feature selection and hyperparameter optimization algorithm for balanced machine learning models predicting N2O emissions from wastewater treatment plants;Journal of Water Process Engineering;2024-06
4. Prediction of Activated Sludge Sedimentation Performance Using Deep Transfer Learning;ACS ES&T Engineering;2024-03-11
5. Sludge bulking monitoring in industrial wastewater treatment plants through graphical methods: A dynamic graph embedding and Bayesian networks approach;Journal of Environmental Management;2023-11
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