Revolutionizing municipal solid waste management (MSWM) with machine learning as a clean resource: Opportunities, challenges and solutions
Author:
Funder
American University of the Middle East
Publisher
Elsevier BV
Subject
Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering
Reference120 articles.
1. Results uncertainty of support vector machine and hybrid of wavelet transform-support vector machine models for solid waste generation forecasting;Abbasi;Environ Prog Sustain Energy,2014
2. Forecasting municipal solid waste generation using artificial intelligence modelling approaches;Abbasi;Waste Manag,2016
3. Progress of artificial neural networks applications in hydrogen production;Abdelkareem;Chem Eng Res Des,2022
4. Optimal route recommendation for waste carrier vehicles for efficient waste collection: A step forward towards sustainable cities;Ahmad;IEEE Access,2020
5. Aleyadeh S, Taha A-EM. An IoT-Based architecture for waste management. In: 2018 IEEE International Conference on Communications Workshops (ICC Workshops), IEEE; 2018.
Cited by 16 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. Intelligent optimal control of furnace temperature for the municipal solid waste incineration process using multi-loop controller and particle swarm optimization;Expert Systems with Applications;2024-12
2. Exploring Transdisciplinary Approaches to Teaching Physical Sciences in Gauteng, South Africa;Advances in Higher Education and Professional Development;2024-07-12
3. Smart waste management: A paradigm shift enabled by artificial intelligence;Waste Management Bulletin;2024-06
4. Green production and consumption of textiles and apparel: Importance, fabrication, challenges and future prospects;Journal of Open Innovation: Technology, Market, and Complexity;2024-06
5. Sequential dark fermentation of municipal solid waste using Starch-Derived volatile fatty acids for lignocellulose pretreatment and biohydrogen production;Fuel;2024-05
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