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Industrial eco-efficiency and its spatial-temporal differentiation in China

Wei YANG, Fengjun JIN, Chengjin WANG, Chen LV

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 4,   Pages 559-568 doi: 10.1007/s11783-012-0400-4

Abstract: Using methods based on the data envelopment analysis (DEA) model and exploratory spatial data analysis(ESDA) and data from 1985, 1995, 2005, and 2008 of 30 provinces in China, the spatial-temporal pattern

Keywords： industrial eco-efficiency     data envelopment analysis (DEA) model     exploratory spatial data analysis (ESDA    

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A data envelopment analysis of agricultural technical efficiency of Northwest Arid Areas in China

Yubao WANG, Lijie SHI, Haojie ZHANG, Shikun SUN

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 2,   Pages 195-207 doi: 10.15302/J-FASE-2017153

Abstract: This paper adopted an input-oriented data envelopment analysis (DEA) method with the assumption of variable

Keywords： agricultural production efficiency     DEA model     input redundancy     irrigation districts     Northwest Arid Areas    

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Feasibility of using wind turbines for renewable hydrogen production in Firuzkuh, Iran

Ali MOSTAFAEIPOUR, Mojtaba QOLIPOUR, Hossein GOUDARZI

Frontiers in Energy 2019, Volume 13, Issue 3,   Pages 494-505 doi: 10.1007/s11708-018-0534-6

Abstract: and hydrogen production in Firuzkuh area using the decision making trial and evaluation (DEMATEL) and dataenvelopment analysis (DEA) methods.

Keywords： wind turbine     hydrogen production     HOMER software     decision making trial and evaluation (DEMATEL)     data envelopmentanalysis (DEA)     Firuzkuh    

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A Review on the Research and Application of DEA

Li Meijuan,Chen Guohong

Strategic Study of CAE 2003, Volume 5, Issue 6,   Pages 88-94

Abstract:

This paper first presents basic ideas, models and application steps for data envelopment analysis(DEA), then summarizes the development and main application fields of DEA as well as some main research

Keywords： DEA     DMU     relative effectiveness     the directions for future research    

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Sustainability performance analysis of environment innovation systems using a two-stage network DEA model

Frontiers of Engineering Management   Pages 425-438 doi: 10.1007/s42524-022-0205-5

Abstract: A two-stage data envelopment analysis (DEA) model is developed in this study to analyze the efficiency

Keywords： data envelopment analysis     environmental efficiency     environmental innovation system     shared resources    

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Methods and applications of DEA cross-efficiency: Review and future perspectives

Jie WU, Jiasen SUN, Liang LIANG

Frontiers of Engineering Management 2021, Volume 8, Issue 2,   Pages 199-211 doi: 10.1007/s42524-020-0133-1

Abstract: The traditional self-evaluation data envelopment analysis (DEA) method usually exaggerates the effectsCompared with the DEA method, CREE can rank DMUs more completely by using reasonable weights.and applications of CREE, including the non-uniqueness problem, the aggregation of cross-efficiency data

Keywords： cross-efficiency evaluation     efficiency     secondary goal model     aggregation     review    

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Efficiency evaluation of government investment for air pollution control in city clusters: A case from the Beijing–Tianjin–Hebei areas in China

Frontiers of Engineering Management   Pages 612-624 doi: 10.1007/s42524-023-0269-x

Abstract: To address this concern, we conducted a study using a three-stage data envelopment analysis (DEA)-Malmquist

Keywords： investment efficiency     government investment     air pollution control     three-stage DEA-Malmquist model    

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A review of systematic evaluation and improvement in the big data environment

Feng YANG, Manman WANG

Frontiers of Engineering Management 2020, Volume 7, Issue 1,   Pages 27-46 doi: 10.1007/s42524-020-0092-6

Abstract: The era of big data brings unprecedented opportunities and challenges to management research.Exploring the applicable evaluation methods in the big data environment has become an important subjectpaper is to provide an overview and discussion of systematic evaluation and improvement in the big dataWe first review the evaluation methods based on the main analytic techniques of big data such as dataFocused on the characteristics of big data (association feature, data loss, data noise, and visualization

Keywords： big data     evaluation methods     systematic improvement     big data analytic techniques     data mining    

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Data quality assessment for studies investigating microplastics and nanoplastics in food products: Arecurrent data reliable?

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1694-0

Abstract:

● Data quality assessment criteria for MP/NPs in food products were

Keywords： Microplastic     Nanoplastic     Food products     Data quality     Human health risk    

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Blockchain application in healthcare service mode based on Health Data Bank

Jianxia GONG, Lindu ZHAO

Frontiers of Engineering Management 2020, Volume 7, Issue 4,   Pages 605-614 doi: 10.1007/s42524-020-0138-9

Abstract: To guarantee data privacy and data security as well as to harness the value of health data, the conceptof Health Data Bank (HDB) is proposed.In this study, HDB is defined as an integrated health data service institution, which bears no “ownership” of health data and operates health data under the principal–agent model.; (2) data rights; (3) health data supervision; (4) and willingness to share health data.

Keywords： Health Data Bank     blockchain     data assets     smart contract     incentive mechanism    

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Challenges to Engineering Management in the Big Data Era

Yong Shi

Frontiers of Engineering Management 2015, Volume 2, Issue 3,   Pages 293-303 doi: 10.15302/J-FEM-2015042

Abstract: as the Big Data applications.First, it outlines the definitions of big data, data science and intelligent knowledge and the historyof big data.Second, the paper reviews the academic activities about big data in China.and non-structured data into “structured format” and explores the relationship of data heterogeneity

Keywords： big data     data science     intelligent knowledge     engineering management     real-life applications    

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Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

Frontiers of Engineering Management 2017, Volume 4, Issue 1,   Pages 41-48 doi: 10.15302/J-FEM-2017003

Abstract: Data enabling technology plays an important role in modern scientific discovery and technologic advancementFactual data enables managers to measure, to understand their businesses, and to directly translate thatareas: 1) by making relevant historical data available to the manager at the time when it’s needed;2) by filtering out actionable intelligence from the ocean of data; and 3) by integrating useful dataacquisition and data analytics.

Keywords： engineering management     project management     big data     data analytics     planning     execution    

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Special issue: Innovative applications of big data and artificial intelligence

Frontiers of Engineering Management 2022, Volume 9, Issue 4,   Pages 517-519 doi: 10.1007/s42524-022-0234-0

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Anensemble method for data stream classification in the presence of concept drift

Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12,   Pages 1059-1068 doi: 10.1631/FITEE.1400398

Abstract: One recent area of interest in computer science is data stream management and processing.By ‘data stream’, we refer to continuous and rapidly generated packages of data.Specific features of data streams are immense volume, high production rate, limited data processing time, and data concept drift; these features differentiate the data stream from standard types of data.An issue for the data stream is classification of input data.

Keywords： Data stream     Classificaion     Ensemble classifiers     Concept drift    

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Methodological considerations for redesigning sustainable cropping systems: the value of data-mininglarge and detailed farm data sets at the cropping system level

Nicolas MUNIER-JOLAIN, Martin LECHENET

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 1,   Pages 21-27 doi: 10.15302/J-FASE-2019292

Abstract: Large data sets collected from real farms allow for the development of innovative methods to produceData mining methods allow for the diversity of systems to be considered holistically and can take intouse and their effect on farm performance, we advocate further investment in the development of large data

Keywords： data mining     holistic     Integrated Pest Management     economics     DEPHY network.    

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Title Author Date Type Operation

Industrial eco-efficiency and its spatial-temporal differentiation in China

Wei YANG, Fengjun JIN, Chengjin WANG, Chen LV

Journal Article

A data envelopment analysis of agricultural technical efficiency of Northwest Arid Areas in China

Yubao WANG, Lijie SHI, Haojie ZHANG, Shikun SUN

Journal Article

Feasibility of using wind turbines for renewable hydrogen production in Firuzkuh, Iran

Ali MOSTAFAEIPOUR, Mojtaba QOLIPOUR, Hossein GOUDARZI

Journal Article

A Review on the Research and Application of DEA

Li Meijuan,Chen Guohong

Journal Article

Sustainability performance analysis of environment innovation systems using a two-stage network DEA model

Journal Article

Methods and applications of DEA cross-efficiency: Review and future perspectives

Jie WU, Jiasen SUN, Liang LIANG

Journal Article

Efficiency evaluation of government investment for air pollution control in city clusters: A case from the Beijing–Tianjin–Hebei areas in China

Journal Article

A review of systematic evaluation and improvement in the big data environment

Feng YANG, Manman WANG

Journal Article

Data quality assessment for studies investigating microplastics and nanoplastics in food products: Arecurrent data reliable?

Journal Article

Blockchain application in healthcare service mode based on Health Data Bank

Jianxia GONG, Lindu ZHAO

Journal Article

Challenges to Engineering Management in the Big Data Era

Yong Shi

Journal Article

Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

Journal Article

Special issue: Innovative applications of big data and artificial intelligence

Journal Article

Anensemble method for data stream classification in the presence of concept drift

Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI

Journal Article

Methodological considerations for redesigning sustainable cropping systems: the value of data-mininglarge and detailed farm data sets at the cropping system level

Nicolas MUNIER-JOLAIN, Martin LECHENET

Journal Article