Employing artificial neural network for accurate modeling, simulation and performance analysis of an RO-based desalination process-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Employing artificial neural network for accurate modeling, simulation and performance analysis of an RO-based desalination process

Published:2022-09 Issue: Volume:35 Page:100735
ISSN:2210-5379
Container-title:Sustainable Computing: Informatics and Systems
language:en
Short-container-title:Sustainable Computing: Informatics and Systems

Author:

Mahadeva Rajesh,Kumar Mahendra,Patole Shashikant P.,Manik Gaurav

Funder

Indian Institute of Technology Roorkee

Ministry of Education, India

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science

Reference30 articles.

1. Water and the solid Earth;Langmuir;Nature,1994

2. Dynamic modeling of multi stage flash (MSF) desalination plant;Al-Fulaij;Univ. Coll. Lond.,2011

3. WHO, UNICEF, Progress on household drinking water, sanitation and hygiene 2000–2017. Special focus on inequalities, 2019.

4. Contributions of recycled wastewater to clean water and sanitation sustainable development goals, NPJ Clean;Tortajada;Water,2020

5. The global status of desalination: an assessment of current desalination technologies, plants and capacity;Eke;Desalination,2020

Cited by 29 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. Stabilized oily-wastewater separation based on superhydrophilic and underwater superoleophobic ceramic membranes: Integrated experimental design and standalone machine learning algorithms;Journal of the Taiwan Institute of Chemical Engineers;2024-11

2. Enhanced performance of a hybrid adsorption desalination system integrated with solar PV/T collectors: Experimental investigation and machine learning modeling coupled with manta ray foraging algorithm;Applied Thermal Engineering;2024-10

3. Improvised grey wolf optimizer assisted artificial neural network (IGWO-ANN) predictive models to accurately predict the permeate flux of desalination plants;Heliyon;2024-07

4. Optimizing reverse osmosis desalination from brackish waters: Predictive approach employing response surface methodology and artificial neural network models;Journal of Membrane Science;2024-06

5. Prediction of the effect of adsorption on the retention of organic compounds by NF/RO using QSPR-ANN;Global NEST Journal;2024-05-17

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