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Qiang LAN, Lin-bo QIAO, Yi-jie WANG
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6, Pages 755-762 doi: 10.1631/FITEE.1601771
Keywords: Stochastic optimization Graph-guided minimization Extra-gradient method Fused logistic regression Graph-guidedregularized logistic regression
Hamid MIRZAHOSSEIN; Milad SASHURPOUR; Seyed Mohsen HOSSEINIAN; Vahid Najafi Moghaddam GILANI
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5, Pages 657-666 doi: 10.1007/s11709-022-0827-z
Keywords: safety rural accidents multiple logistic regression artificial neural networks
Man-machine verification of mouse trajectory based on the random forestmodel Research Articles
Zhen-yi XU, Yu KANG, Yang CAO, Yu-xiao YANG
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7, Pages 925-929 doi: 10.1631/FITEE.1700442
Keywords: Man-machine verification Random forest Support vector machine Logistic regression Performance metrics
Application of Vague Sets and Vague Graphics in ITS Logistic
Zhang Ran,Liu Yang,Xie Yanqing,Zhang Jiang,He Zhongxiong
Strategic Study of CAE 2004, Volume 6, Issue 8, Pages 57-63
Keywords: intelligent logistic artificial intelligence Vague set Vague chart application in ITS logistic
Predicting SARS for Guangdong, Beijing and Mainland China 2003 Cases
Wang Jianfeng
Strategic Study of CAE 2003, Volume 5, Issue 8, Pages 23-29
Keywords: SARS generalized Logistic growth model Gompertz function prediction optimization
Multiple regression models for energy consumption of office buildings in different climates in China
Siyu ZHOU, Neng ZHU
Frontiers in Energy 2013, Volume 7, Issue 1, Pages 103-110 doi: 10.1007/s11708-012-0220-z
Keywords: regression model energy consumption building envelope office building different climates
Dynamic response surface methodology using Lasso regression for organic pharmaceutical synthesis
Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2, Pages 221-236 doi: 10.1007/s11705-021-2061-y
Keywords: data-driven modeling pharmaceutical organic synthesis Lasso regression dynamic response surface methodology
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5, Pages 1181-1198 doi: 10.1007/s11709-021-0744-6
Keywords: interaction load sharing ratio piled raft nonlinear regression artificial neural network
Multivariable regression model for Fox depth correction factor
Ravi Kant MITTAL, Sanket RAWAT, Piyush BANSAL
Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1, Pages 103-109 doi: 10.1007/s11709-018-0474-6
Keywords: settlement embedment Fox depth correction factor regression multivariable
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1676-2
● A novel framework integrating quantile regression with machine learning
Keywords: Driver-response Upper boundary of relationship Interpretable machine learning Quantile regression
Ali Reza GHANIZADEH, Morteza RAHROVAN
Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4, Pages 787-799 doi: 10.1007/s11709-019-0516-8
Keywords: soil-reclaimed asphalt pavement blend Portland cement unconfined compressive strength multivariate adaptive regression
Pijush Samui, Jagan J
Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2, Pages 133-136 doi: 10.1007/s11709-013-0202-1
Keywords: unsaturated soil effective stress parameter Gaussian process regression (GPR) artificial neural network
Faezehossadat KHADEMI,Mahmoud AKBARI,Sayed Mohammadmehdi JAMAL,Mehdi NIKOO
Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 1, Pages 90-99 doi: 10.1007/s11709-016-0363-9
Keywords: concrete 28 days compressive strength multiple linear regression artificial neural network ANFIS sensitivity
Uncovering the evolution of tin use in the United States and its implications
Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1406-6
• US tin use decreases as the GDP value added by manufacturing sector increases.
Keywords: Tin use GDP Curve fitting Logistic model Gompertz model
Sexual satisfaction and its influencing factors of postmenopausal women in rural areas
Jing Xiu,Yang Jigao,Liu Jun and Zhang Lihua
Strategic Study of CAE 2014, Volume 16, Issue 5, Pages 105-109
Keywords: postmenopausal women sexual satisfaction influencing factor Logistic analysis
Title Author Date Type Operation
Stochastic extra-gradient based alternating direction methods for graph-guided regularizedminimization
Qiang LAN, Lin-bo QIAO, Yi-jie WANG
Journal Article
Presentation of machine learning methods to determine the most important factors affecting road traffic accidents on rural roads
Hamid MIRZAHOSSEIN; Milad SASHURPOUR; Seyed Mohsen HOSSEINIAN; Vahid Najafi Moghaddam GILANI
Journal Article
Man-machine verification of mouse trajectory based on the random forestmodel
Zhen-yi XU, Yu KANG, Yang CAO, Yu-xiao YANG
Journal Article
Application of Vague Sets and Vague Graphics in ITS Logistic
Zhang Ran,Liu Yang,Xie Yanqing,Zhang Jiang,He Zhongxiong
Journal Article
Multiple regression models for energy consumption of office buildings in different climates in China
Siyu ZHOU, Neng ZHU
Journal Article
Dynamic response surface methodology using Lasso regression for organic pharmaceutical synthesis
Journal Article
Interaction behavior and load sharing pattern of piled raft using nonlinear regression and LM algorithm-based
Journal Article
Multivariable regression model for Fox depth correction factor
Ravi Kant MITTAL, Sanket RAWAT, Piyush BANSAL
Journal Article
of driver-response relationships: identifying factors using a novel framework integrating quantile regression
Journal Article
compressive strength of soil-RAP blend stabilized with Portland cement using multivariate adaptive regression
Ali Reza GHANIZADEH, Morteza RAHROVAN
Journal Article
Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach
Pijush Samui, Jagan J
Journal Article
Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive
Faezehossadat KHADEMI,Mahmoud AKBARI,Sayed Mohammadmehdi JAMAL,Mehdi NIKOO
Journal Article