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ClimateAP: an application for dynamic local downscaling of historical and future climate data in Asia

Tongli WANG, Guangyu WANG, John L. INNES, Brad SEELY, Baozhang CHEN

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 4,   Pages 448-458 doi: 10.15302/J-FASE-2017172

Abstract: suitable for climate-impact modeling at global and ecosystems levels, spatial analyses conducted at localIt downscales the baseline data from a moderate spatial resolution to scale-free point data through dynamiclocal elevation adjustments.The effectiveness of the local downscaling was determined based on the strength of the local linear regressionThe local linear regression explained 70%–80% and 0%–50% of the total variation in monthly temperatures

Keywords： biologically relevant climate variables     downscaling     dynamic local regression     future climate     historical    

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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: To study the dynamic behavior of a process, time-resolved data are collected at different time instantsFor utilizing such time-resolved data to model the dynamic behavior, dynamic response surface methodologyTwo 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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Unsupervised feature selection via joint local learning and group sparse regression Regular Papers

Yue WU, Can WANG, Yue-qing ZHANG, Jia-jun BU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 4,   Pages 538-553 doi: 10.1631/FITEE.1700804

Abstract: To address this issue, we propose a novel unsupervised feature selection algorithm via joint local learningand group sparse regression (JLLGSR).JLLGSR incorporates local learning based clustering with group sparsity regularized regression in a single

Keywords： Unsupervised     Local learning     Group sparse regression     Feature selection    

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A Local Quadratic Embedding Learning Algorithm and Applications for Soft Sensing Article

Yaoyao Bao, Yuanming Zhu, Feng Qian

Engineering 2022, Volume 18, Issue 11,   Pages 186-196 doi: 10.1016/j.eng.2022.04.025

Abstract: Inspired by the tremendous achievements of meta-learning in various fields, this paper proposes the localquadratic embedding learning (LQEL) algorithm for regression problems based on metric learning and neuralfor weight assignment for the prediction results obtained from different local neighbors.Finally, the two sub-models are embedded in a unified regression framework, and the parameters are learnedand two practical industrial applications show that the proposed method outperforms several popular regression

Keywords： Local quadratic embedding     Metric learning     Regression machine     Soft sensor    

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High-order phase-field model with the local and second-order max-entropy approximants

Fatemeh AMIRI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 2,   Pages 406-416 doi: 10.1007/s11709-018-0475-5

Abstract: We approximate the fracture surface energy functional based on phase-field method with smooth local maximum

Keywords： second-order maximum entropy     local maximum entropy     second- and fourth-order phase-field models     B-spline    

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Making central-local relations work: Comparing America and China environmental governance systems

Dan GUTTMAN, SONG Yaqin

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 4,   Pages 418-433 doi: 10.1007/s11783-007-0068-3

Abstract: The challenge of making central requirements work at local levels is a common problem for environmentalCountries can learn from one another s approaches, but must understand the local context in w
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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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Local uncorrelated local discriminant embedding for face recognition

Xiao-hu MA,Meng YANG,Zhao ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 212-223 doi: 10.1631/FITEE.1500255

Abstract: In this paper, we introduce a novel feature extraction method called local uncorrelated local discriminantThe proposed approach can be seen as an extension of a local discriminant embedding (LDE) framework inFirst, a new local statistical uncorrelated criterion is proposed, which effectively captures the local

Keywords： Feature extraction     Local discriminant embedding     Local uncorrelated criterion     Face recognition    

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EXPLORING THE RELATIVE ADVANTAGES OF LOCAL INNOVATION IN AGROFORESTRY

Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2022476

Abstract:

● Promotion of local sustainable innovation developed by forest farmers

Keywords： agroforestry     forest farmers     local innovation     relative advantage     social forestry    

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Role of local governments in fostering the development of an emerging industry: A market-oriented policy

Jun JIN, Maureen McKELVEY, Ying DONG

Frontiers of Engineering Management 2020, Volume 7, Issue 3,   Pages 447-458 doi: 10.1007/s42524-020-0104-6

Abstract: This research investigates the role of local governments in stimulating an emerging industry and focusesMoreover, the primary contribution of this study is to emphasize the support of the local government

Keywords： market demand     local government     new energy vehicles    

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Presentation of regression analysis, GP and GMDH models to predict the pedestrian density in various

Frontiers of Structural and Civil Engineering   Pages 250-265 doi: 10.1007/s11709-021-0785-x

Abstract: Regression analysis was then applied to determine the relationship between SMS, flow rate, andBy the use of regression analysis, the mathematical relationships between variables in all facilities

Keywords： pedestrian density     regression analysis     GP model     GMDH model    

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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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Understand the local and regional contributions on air pollution from the view of human health impacts

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 5, doi: 10.1007/s11783-020-1382-2

Abstract:

• PM2.5-related deaths were estimated to be 227 thousand in BTH & surrounding regions.

Keywords： PM2.5     Regional transport     Local emissions     Health impact     Environmental inequality    

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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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compressive strength of soil-RAP blend stabilized with Portland cement using multivariate adaptive 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

Abstract: compressive strength (UCS) of soil-RAP blend stabilized with Portland cement based on multivariate adaptive regression

Keywords： soil-reclaimed asphalt pavement blend     Portland cement     unconfined compressive strength     multivariate adaptive regression    

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Title Author Date Type Operation

ClimateAP: an application for dynamic local downscaling of historical and future climate data in Asia

Tongli WANG, Guangyu WANG, John L. INNES, Brad SEELY, Baozhang CHEN

Journal Article

Dynamic response surface methodology using Lasso regression for organic pharmaceutical synthesis

Journal Article

Unsupervised feature selection via joint local learning and group sparse regression

Yue WU, Can WANG, Yue-qing ZHANG, Jia-jun BU

Journal Article

A Local Quadratic Embedding Learning Algorithm and Applications for Soft Sensing

Yaoyao Bao, Yuanming Zhu, Feng Qian

Journal Article

High-order phase-field model with the local and second-order max-entropy approximants

Fatemeh AMIRI

Journal Article

Making central-local relations work: Comparing America and China environmental governance systems

Dan GUTTMAN, SONG Yaqin

Journal Article

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

Siyu ZHOU, Neng ZHU

Journal Article

Local uncorrelated local discriminant embedding for face recognition

Xiao-hu MA,Meng YANG,Zhao ZHANG

Journal Article

EXPLORING THE RELATIVE ADVANTAGES OF LOCAL INNOVATION IN AGROFORESTRY

Journal Article

Role of local governments in fostering the development of an emerging industry: A market-oriented policy

Jun JIN, Maureen McKELVEY, Ying DONG

Journal Article

Presentation of regression analysis, GP and GMDH models to predict the pedestrian density in various

Journal Article

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

Journal Article

Understand the local and regional contributions on air pollution from the view of human health impacts

Journal Article

Multivariable regression model for Fox depth correction factor

Ravi Kant MITTAL, Sanket RAWAT, Piyush BANSAL

Journal Article

compressive strength of soil-RAP blend stabilized with Portland cement using multivariate adaptive regression

Ali Reza GHANIZADEH, Morteza RAHROVAN

Journal Article