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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 in China

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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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Tender evaluation through efficiency analysis for public construction contracts

Stefan NIEWERTH, Peter VOGT, Markus THEWES

Frontiers of Engineering Management 2022, Volume 9, Issue 1, Pages 148-158 doi: 10.1007/s42524-020-0119-z

Abstract: ., Data Envelopment Analysis (DEA), is adopted in this study.

Keywords： bid evaluation public procurement best value for money data envelopment analysis contractor selection

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Efficiency measurement for mixed two-stage nonhomogeneous network processes with shared extra intermediate resources

Qingxian AN, Xuyang LIU, Shijie DING

Frontiers of Engineering Management 2020, Volume 7, Issue 2, Pages 259-274 doi: 10.1007/s42524-019-0080-x

Abstract: This study proposes a data-driven, mixed two-stage network data envelopment analysis model.A data set of 58 international hotels is used to test the features of the proposed model.

Keywords： shared resource allocation mixed two-stage system data envelopment analysis efficiency

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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 envelopment

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Techno-economic characteristics of wastewater treatment plants retrofitted from the conventional activated sludge process to the membrane bioreactor process

Frontiers of Environmental Science & Engineering doi: 10.1007/s11783-021-1483-6

Abstract:

While a growing number of wastewater treatment plants (WWTPs) are being retrofitted from the conventional activated sludge (CAS) process to the membrane bioreactor (MBR) process, the debate on the techno-economy of MBR vs. CAS has continued and calls for a thorough assessment based on techno-economic valuation.

Keywords： Membrane bioreactor (MBR) Conventional activated sludge (CAS) Cost-benefit analysis Data envelopment

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

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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Evaluating R&D efficiency of China’s listed lithium battery enterprises

Frontiers of Engineering Management Pages 473-485 doi: 10.1007/s42524-022-0213-5

Abstract: Specifically, data envelopment analysis (DEA) was used as the primary approach based on evidence from

Keywords： Data Envelopment Analysis R&D investment efficiency China’s listed lithium battery enterprises technical

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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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Title Author Date Type Operation

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

Yubao WANG, Lijie SHI, Haojie ZHANG, Shikun SUN

Journal Article

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

Wei YANG, Fengjun JIN, Chengjin WANG, Chen LV

Journal Article

Tender evaluation through efficiency analysis for public construction contracts

Stefan NIEWERTH, Peter VOGT, Markus THEWES

Journal Article

Efficiency measurement for mixed two-stage nonhomogeneous network processes with shared extra intermediate resources

Qingxian AN, Xuyang LIU, Shijie DING

Journal Article

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

Ali MOSTAFAEIPOUR, Mojtaba QOLIPOUR, Hossein GOUDARZI

Journal Article

Techno-economic characteristics of wastewater treatment plants retrofitted from the conventional activated sludge process to the membrane bioreactor process

Journal Article

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

Journal Article

Evaluating R&D efficiency of China’s listed lithium battery enterprises

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