Search scope:
排序: Display mode:
Expanding the Scope of Multivariate Regression Approaches in Cross-Omics Research Article
Xiaoxi Hu, Yue Ma, Yakun Xu, Peiyao Zhao, Jun Wang
Engineering 2021, Volume 7, Issue 12, Pages 1725-1731 doi: 10.1016/j.eng.2020.05.028
Keywords: Multivariate regression methods Reduced rank regression Sparsity Dimensionality reduction Variable
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: full-depth reclamation soil-reclaimed asphalt pavement blend Portland cement unconfined compressive strength multivariateadaptive regression spline
Xue LI,Pengjing LI,Dong WANG,Yuqiu WANG
Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 6, Pages 895-904 doi: 10.1007/s11783-014-0736-z
Keywords: Xin'anjiang River multivariable statistical analysis temporal variation spatial variation water quality
Interactive image segmentation with a regression based ensemble learning paradigm Article
Jin ZHANG, Zhao-hui TANG, Wei-hua GUI, Qing CHEN, Jin-ping LIU
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7, Pages 1002-1020 doi: 10.1631/FITEE.1601401
Keywords: Interactive image segmentation Multivariate adaptive regression splines (MARS) Ensemble learning Thin-platespline regression (TPSR) Semi-supervised learning Support vector regression (SVR)
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
Soheila KOOKALANI; Bin CHENG; Jose Luis Chavez TORRES
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 10, Pages 1249-1266 doi: 10.1007/s11709-022-0858-5
Keywords: machine learning gridshell structure regression sensitivity analysis interpretability methods
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
Hua Tao, Pinjing He, Yi Zhang, Wenjie Sun
Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 6, doi: 10.1007/s11783-017-0945-3
Keywords: Municipal solid waste Incineration Circulating fluidized bed Load change Multivariate outlier detection
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
Reasonable Scale of Megacity Central Area Based on Multivariate Data and a Traffic Perspective
Lu Huapu, Bai Zhuotong,Wu Zhouhao, Fu Zhihuan
Strategic Study of CAE 2022, Volume 24, Issue 6, Pages 146-153 doi: 10.15302/J-SSCAE-2022.06.013
The central area of a megacity, which features high-intensity development, large population density, and concentrated urban functions, demonstrates the most prominent urban problems. Addressing the urban malaise in megacities necessitates analyzing and demonstrating the reasonable scale of the megacity central area. This study proposes that commuting time is the core controlling factor determining the reasonable scale of the megacity central area. Combining with point of interest data of multi-type land use and the geographic information system data for street administrative division, we identified the current central urban areas of ten cities in China using big data analysis and the clustering method; their current traffic efficiencies were then evaluated based on path navigation data via web maps and mobile phone signaling data verification. Finally, demonstration results were presented through quantitative analysis. Our study shows that the current central areas of the ten megacities cannot satisfy residents' need for a proper commuting time; considering factors such as technological development and improvement in the level of governance, 13‒15 km is the upper limit of equivalent radius for the central area of a megacity.
Keywords: reasonable scale multivariate data central urban area megacity happiness
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
Yurui Fan,Guohe Huang,Yin Zhang,Yongping Li
Engineering 2018, Volume 4, Issue 5, Pages 617-626 doi: 10.1016/j.eng.2018.06.006
Keywords: Flood risk Copula Multivariate flood frequency analysis Distribution Markov chain Monte Carlo
Title Author Date Type Operation
Expanding the Scope of Multivariate Regression Approaches in Cross-Omics Research
Xiaoxi Hu, Yue Ma, Yakun Xu, Peiyao Zhao, Jun Wang
Journal Article
Modeling of unconfined compressive strength of soil-RAP blend stabilized with Portland cement using multivariateadaptive regression spline
Ali Reza GHANIZADEH, Morteza RAHROVAN
Journal Article
Assessment of temporal and spatial variations in water quality using multivariate statistical methods
Xue LI,Pengjing LI,Dong WANG,Yuqiu WANG
Journal Article
Interactive image segmentation with a regression based ensemble learning paradigm
Jin ZHANG, Zhao-hui TANG, Wei-hua GUI, Qing CHEN, Jin-ping LIU
Journal Article
Presentation of machine learning methods to determine the most important factors affecting road traffic
Hamid MIRZAHOSSEIN; Milad SASHURPOUR; Seyed Mohsen HOSSEINIAN; Vahid Najafi Moghaddam GILANI
Journal Article
Structural performance assessment of GFRP elastic gridshells by machine learning interpretability methods
Soheila KOOKALANI; Bin CHENG; Jose Luis Chavez TORRES
Journal Article
Stochastic extra-gradient based alternating direction methods for graph-guided regularizedminimization
Qiang LAN, Lin-bo QIAO, Yi-jie WANG
Journal Article
Performance evaluation of circulating fluidized bed incineration of municipal solid waste by multivariate
Hua Tao, Pinjing He, Yi Zhang, Wenjie Sun
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
Reasonable Scale of Megacity Central Area Based on Multivariate Data and a Traffic Perspective
Lu Huapu, Bai Zhuotong,Wu Zhouhao, Fu Zhihuan
Journal Article
of driver-response relationships: identifying factors using a novel framework integrating quantile regression
Journal Article