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Modeling of unconfined compressive strength of soil-RAP blend stabilized with Portland cement using multivariateadaptive regression spline

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

Abstract: the unconfined compressive strength (UCS) of soil-RAP blend stabilized with Portland cement based on multivariateadaptive regression spline (MARS).

Keywords： full-depth reclamation     soil-reclaimed asphalt pavement blend     Portland cement     unconfined compressive strength     multivariateadaptive regression spline    

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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

Abstract: This paper presents a novel interactive image segmentation method via a regression-based ensemble modelThe task is formulated as a non-linear problem integrating two complementary spline regressors and strengtheningFirst, two spline regressors with a complementary nature are constructed based on multivariate adaptiveregression splines (MARS) and smooth thin plate spline regression (TPSR).Next, a support vector regression (SVR) based decision fusion model is adopted to integrate the results

Keywords： Interactive image segmentation     Multivariate adaptive regression splines (MARS)     Ensemble learning     Thin-platespline regression (TPSR)     Semi-supervised learning     Support vector regression (SVR)    

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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

Abstract: in the amount of high-dimensional data and thus have increased the demand for proper and efficient multivariateregression methods.Numerous traditional multivariate approaches such as principal component analysis have been used broadlyreduced rank regression and subspace assisted regression with row sparsity, which hold potential tomethod extensions provide valuable guidelines for future omics research, especially with respect to multivariate

Keywords： Multivariate regression methods     Reduced rank regression     Sparsity     Dimensionality reduction     Variable    

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Implementation of an adaptive feed speed 3D NURBS interpolation algorithm

LIANG Hong-bin, WANG Yong-zhang, LI Xia

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 4,   Pages 403-408 doi: 10.1007/s11465-006-0047-6

Abstract: NURBS (non-uniform rational B-spline) interpolation algorithms have been provided in modern CNC (computerIn order to deal with this problem, an adaptive feed speed interpolation algorithm for 3D NURBS parametric

Keywords： NURBS parametric     rational B-spline     second-order     non-uniform rational     precision    

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Obstacle-circumventing adaptive control of a four-wheeled mobile robot subjected to motion uncertainties

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0753-3

Abstract: To address this challenge, this paper proposes an obstacle-circumventing adaptive control (OCAC) frameworkSpecifically, a novel anti-disturbance terminal slide mode control with adaptive gains is formulated,By introducing sub-target points, a new sub-target dynamic tracking regression obstacle avoidance strategy

Keywords： four-wheeled mobile robot     obstacle-circumventing adaptive control     adaptive anti-disturbance terminalsliding mode control     sub-target dynamic tracking regression obstacle avoidance    

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Multiresolution and multimaterial topology optimization of fail-safe structures under B-spline spaces

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 4, doi: 10.1007/s11465-023-0768-9

Abstract: This study proposes a B-spline-based multiresolution and multimaterial topology optimization (TO) designfiner density mesh to discretize the design domain, in which the density field is described by the B-splineThe B-spline can efficiently and accurately convert optimized FSSs into computer-aided design models.

Keywords： multiresolution     multimaterial     topology optimization     fail-safe structure     B-spline    

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Performance evaluation of circulating fluidized bed incineration of municipal solid waste by multivariate

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

Abstract: analyzed to assess the overall performance of CFB incineration by applying the Mahalanobis distance as a multivariate

Keywords： Municipal solid waste     Incineration     Circulating fluidized bed     Load change     Multivariate outlier detection    

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Interpolation of a spline developable surface between a curve and two rulings

Alicia CANTÓN,Leonardo FERNÁNDEZ-JAMBRINA

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 173-190 doi: 10.1631/FITEE.14a0210

Abstract: In this paper we address the problem of interpolating a spline developable patch bounded by a given splineTo complete the boundary of the patch, a second spline curve is to be given.

Keywords： Developable surfaces     Spline surfaces     Blossoms    

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Exponential polynomial uniform splines model

Zhao Yanli,Ping Ping,Liu Fengyu

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 147-152

Abstract: style="text-align: justify;"> A new model of k( k ≥ 3) order exponential polynomial uniform splineis given.Most of its properties similar to those of the B - spline model, and also it has an adjustableThe spline curves which are constructed by the exponential polynomial uniform splines can adjust the

Keywords： exponential polynomial uniform spline function     uniform B - spline function     shape parameter    

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Crack fault quantitative diagnosis based on finite element of B-spline wavelet on the interval

XIANG Jia-wei, CHEN Xue-feng, HE Zheng-jia, HE Yu-min

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2,   Pages 177-182 doi: 10.1007/s11465-006-0001-7

Abstract: Then, the one-dimensional crack element of B-spline wavelet on the interval (BSWI) was built to solve

Keywords： one-dimensional     B-spline     incipient     prognosis     identification precision    

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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

Abstract: Then on the basis of the simulated results, the multiple regression models were developed respectivelyAccording to the analysis of regression coefficients, the appropriate building envelope design schemesAt last, the regression model evaluations consisting of the simulation evaluations and the actual caseevaluations were performed to verify the feasibility and accuracy of the regression models.It is believed that the regression models developed in this paper can be used to estimate the energy

Keywords： regression model     energy consumption     building envelope     office building     different climates    

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Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric characteristics

Gurmanik KAUR,Ajat Shatru ARORA,Vijender Kumar JAIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 474-485 doi: 10.1631/FITEE.1400295

Abstract: In this work, principal component analysis (PCA) is fused with forward stepwise regression (SWR), artificialneural network (ANN), adaptive neuro-fuzzy inference system (ANFIS), and the least squares support vector

Keywords： Blood pressure (BP)     Principal component analysis (PCA)     Forward stepwise regression     Artificial neuralnetwork (ANN)     Adaptive neuro-fuzzy inference system (ANFIS)     Least squares support vector machine (    

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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

Abstract: Two approaches can be adopted in the estimation of the model parameters: stepwise regression, used inseveral of previous publications, and Lasso regression, which is newly incorporated in this paper forTherefore, DRSM with Lasso regression can provide faster and more accurate data-driven models for a variety

Keywords： data-driven modeling     pharmaceutical organic synthesis     Lasso regression     dynamic response surface methodology    

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Interaction behavior and load sharing pattern of piled raft using nonlinear regression and LM algorithm-based

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5,   Pages 1181-1198 doi: 10.1007/s11709-021-0744-6

Abstract: The obtained results are then checked statistically with nonlinear multiple regression (NMR) and artificial

Keywords： interaction     load sharing ratio     piled raft     nonlinear regression     artificial neural network    

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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

Abstract: Therefore, this paper presents a non-linear regression model for the analysis of effect of embedment

Keywords： settlement     embedment     Fox depth correction factor     regression     multivariable    

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Title Author Date Type Operation

Modeling of unconfined compressive strength of soil-RAP blend stabilized with Portland cement using multivariateadaptive regression spline

Ali Reza GHANIZADEH, Morteza RAHROVAN

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

Expanding the Scope of Multivariate Regression Approaches in Cross-Omics Research

Xiaoxi Hu, Yue Ma, Yakun Xu, Peiyao Zhao, Jun Wang

Journal Article

Implementation of an adaptive feed speed 3D NURBS interpolation algorithm

LIANG Hong-bin, WANG Yong-zhang, LI Xia

Journal Article

Obstacle-circumventing adaptive control of a four-wheeled mobile robot subjected to motion uncertainties

Journal Article

Multiresolution and multimaterial topology optimization of fail-safe structures under B-spline spaces

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

Interpolation of a spline developable surface between a curve and two rulings

Alicia CANTÓN,Leonardo FERNÁNDEZ-JAMBRINA

Journal Article

Exponential polynomial uniform splines model

Zhao Yanli,Ping Ping,Liu Fengyu

Journal Article

Crack fault quantitative diagnosis based on finite element of B-spline wavelet on the interval

XIANG Jia-wei, CHEN Xue-feng, HE Zheng-jia, HE Yu-min

Journal Article

Multiple regression models for energy consumption of office buildings in different climates in China

Siyu ZHOU, Neng ZHU

Journal Article

Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric characteristics

Gurmanik KAUR,Ajat Shatru ARORA,Vijender Kumar JAIN

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