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Evaluation and prediction of slope stability using machine learning approaches
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4, Pages 821-833 doi: 10.1007/s11709-021-0742-8
Keywords: slope stability factor of safety regression machine learning repeated cross-validation
Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2, Pages 183-197 doi: 10.1007/s11705-021-2073-7
Keywords: machine learning flowsheet simulations constraints exploration
Big data and machine learning: A roadmap towards smart plants
Frontiers of Engineering Management Pages 623-639 doi: 10.1007/s42524-022-0218-0
Keywords: big data machine learning artificial intelligence smart sensor cyber–physical system Industry 4.0
Machine learning in building energy management: A critical review and future directions
Frontiers of Engineering Management 2022, Volume 9, Issue 2, Pages 239-256 doi: 10.1007/s42524-021-0181-1
Keywords: building energy management machine learning integrated framework knowledge evolution
Development of machine learning multi-city model for municipal solid waste generation prediction
Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 9, doi: 10.1007/s11783-022-1551-6
● A database of municipal solid waste (MSW) generation in China was established.
Keywords: Municipal solid waste Machine learning Multi-cities Gradient boost regression tree
State-of-the-art applications of machine learning in the life cycle of solid waste management
Frontiers of Environmental Science & Engineering doi: 10.1007/s11783-023-1644-x
● State-of-the-art applications of machine learning (ML) in solid waste
Keywords: Machine learning (ML) Solid waste (SW) Bibliometrics SW management Energy utilization Life cycle
Frontiers of Structural and Civil Engineering Pages 928-945 doi: 10.1007/s11709-022-0837-x
Keywords: compressive strength self-compacting concrete machine learning techniques particle swarm optimization
Frontiers of Structural and Civil Engineering Pages 347-358 doi: 10.1007/s11709-022-0819-z
Keywords: support vector machine deep convolutional neural network microscope digital image curing period
Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 3, doi: 10.1007/s11783-021-1472-9
• A spectral machine learning approach is proposed for predicting mixed
Keywords: Antibiotic contamination Spectral detection Machine learning
Application of machine learning technique for predicting and evaluating chloride ingress in concrete
Frontiers of Structural and Civil Engineering Pages 1153-1169 doi: 10.1007/s11709-022-0830-4
Keywords: gradient boosting random forest chloride content concrete sensitivity analysis.
Frontiers of Structural and Civil Engineering Pages 1249-1266 doi: 10.1007/s11709-022-0858-5
Keywords: machine learning gridshell structure regression sensitivity analysis interpretability methods
Estimation of optimum design of structural systems via machine learning
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6, Pages 1441-1452 doi: 10.1007/s11709-021-0774-0
Keywords: optimization metaheuristic algorithms harmony search structural designs machine learning artificial
Houfa Wu,Jianyun Zhang,Zhenxin Bao,Guoqing Wang,Wensheng Wang,Yanqing Yang,Jie Wang
Engineering doi: 10.1016/j.eng.2021.12.014
Keywords: Parameters estimation Ungauged catchments Regionalization scheme Machine learning algorithms Soil and
Zohreh SHEIKH KHOZANI, Khabat KHOSRAVI, Mohammadamin TORABI, Amir MOSAVI, Bahram REZAEI, Timon RABCZUK
Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5, Pages 1097-1109 doi: 10.1007/s11709-020-0634-3
Keywords: compound channel machine learning SKM model shear stress distribution data mining models
Prediction of shield tunneling-induced ground settlement using machine learning techniques
Renpeng CHEN, Pin ZHANG, Huaina WU, Zhiteng WANG, Zhiquan ZHONG
Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 6, Pages 1363-1378 doi: 10.1007/s11709-019-0561-3
Keywords: EPB shield shield tunneling settlement prediction machine learning
Title Author Date Type Operation
Using machine learning models to explore the solution space of large nonlinear systems underlying flowsheet
Journal Article
Machine learning in building energy management: A critical review and future directions
Journal Article
Development of machine learning multi-city model for municipal solid waste generation prediction
Journal Article
State-of-the-art applications of machine learning in the life cycle of solid waste management
Journal Article
Assessment of different machine learning techniques in predicting the compressive strength of self-compacting
Journal Article
Assessing compressive strengths of mortar and concrete from digital images by machine learning techniques
Journal Article
A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning
Journal Article
Application of machine learning technique for predicting and evaluating chloride ingress in concrete
Journal Article
Structural performance assessment of GFRP elastic gridshells by machine learning interpretability methods
Journal Article
Runoff Modeling in Ungauged Catchments Using Machine Learning Algorithm-Based Model Parameters Regionalization
Houfa Wu,Jianyun Zhang,Zhenxin Bao,Guoqing Wang,Wensheng Wang,Yanqing Yang,Jie Wang
Journal Article
Shear stress distribution prediction in symmetric compound channels using data mining and machine learning
Zohreh SHEIKH KHOZANI, Khabat KHOSRAVI, Mohammadamin TORABI, Amir MOSAVI, Bahram REZAEI, Timon RABCZUK
Journal Article