Shear modulus prediction of landfill components using novel machine learners hybridized with forensic-based investigation optimization
Author:
Publisher
Elsevier BV
Subject
General Materials Science,Building and Construction,Civil and Structural Engineering
Reference98 articles.
1. What a Waste 2.0: A Global Snapshot of Solid Waste Management to 2050;Kaza,2018
2. Laboratory-based assessment on similarities between dynamic behavior of MSW and clay;Alidoust;J. Mater. Cycles Waste Manag.,2021
3. Dynamic shear behavior of GMB/CCL interface under cyclic loading;Feng;Geotext. Geomembr.,2021
4. Laboratory Study on Dynamic Properties of Municipal Solid Waste in Saravan Landfill, Iran;Karimpour-Fard;Int. J. Civ. Eng.,2021
5. Parametric study on dynamic characterization of municipal solid waste fine fractions for geotechnical purpose;Rawat;J. Hazard., Toxic., Radioact. Waste,2022
Cited by 5 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. Bond strength prediction of externally bonded reinforcement on groove method (EBROG) using MARS-POA;Composite Structures;2024-12
2. Application of hybridized ensemble learning and equilibrium optimization in estimating damping ratios of municipal solid waste;Scientific Reports;2024-07-30
3. A formulation for asphalt concrete air void during service life by adopting a hybrid evolutionary polynomial regression and multi-gene genetic programming;Scientific Reports;2024-06-10
4. A comparison of novel hybrid ensemble learners to predict the compressive strength of green engineering materials: a case of concrete composed of rice husk ash;European Journal of Environmental and Civil Engineering;2024-04-08
5. Dynamic Behavior of Microbial-Induced Calcite Precipitation (Micp) Improved Loess Soil with Basalt Fiber Reinforcement Using Cyclic Direct Simple Shear Test;2024
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