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Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Frontiers in Energy 2017, Volume 11, Issue 2,   Pages 175-183 doi: 10.1007/s11708-017-0471-9

Abstract: A locally weighted learning method is also proposed to utilize the processed feature set to produce the

Keywords： feature set     minimal-redundancy-maximal-relevance (mRMR)     principal component analysis (PCA)     locally weighted    

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evaluation of renal function using diffusion weighted imaging and diffusion tensor imaging in type 2

Xiaoyan Chen,Wenxia Xiao,Xinchun Li,Jianxun He,Xiaochun Huang,Yuyu Tan

Frontiers of Medicine 2014, Volume 8, Issue 4,   Pages 471-476 doi: 10.1007/s11684-014-0365-8

Abstract:

This work aims to estimate the value of diffusion weighted imaging (DWI) and diffusion tensor imaging

Keywords： type 2 diabetes mellitus     microalbuminuria     diffusion weighted imaging     diffusion tensor imaging     early-stage    

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radiation fraction induced by interaction burning of tri-symmetric propane fires in open space based on weighted

Jie JI, Junrui DUAN, Huaxian WAN

Frontiers in Energy 2022, Volume 16, Issue 6,   Pages 1017-1026 doi: 10.1007/s11708-020-0716-x

Abstract: The data obtained in this study would play an important role in calculating the external radiation of

Keywords： flame interaction     air entrainment     flame height     multi-point source model     thermal radiation    

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A Hierarchical-Based Initialization Method for K-Means Algorithm

Tang Jiubin,Lu Jianfeng,Tang Zhenmin, Yang Jingyu

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 74-79

Abstract:  The general clustering problem is treated as weighted clustering problem,  the original datais sampled level by level to reduce the data amount.mapped from the clustering center of upper level and this procedure is repeated until the original data As a result,  the initial center for the original data is obtained. Both the experimental results on simulated data and real data show that the proposed method has

Keywords： hierarchical technique     initial cluster centers     weighted data     K-means clustering    

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Label fusion for segmentation via patch based on local weighted voting Article

Kai ZHU, Gang LIU, Long ZHAO, Wan ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5,   Pages 680-688 doi: 10.1631/FITEE.1500457

Abstract: In this paper we propose a novel patch-based segmentation method combining a local weighted voting strategyWe first adopt intensity prior and label prior as two key metrics when implementing the local weightedwe compare the results with those of other methods, including joint fusion, majority voting, local weighted

Keywords： Label fusion     Local weighted voting     Patch-based     Background analysis    

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Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Frontiers in Energy 2016, Volume 10, Issue 1,   Pages 105-113 doi: 10.1007/s11708-016-0393-y

Abstract: proposes the day-ahead electricity price forecasting using the artificial neural networks (ANN) and weightedperform this price forecasting, the market knowledge is utilized to optimize the selection of input dataThe data used for this price forecasting is obtained from the PJM website.

Keywords： day-ahead electricity markets     price forecasting     load forecasting     artificial neural networks     load serving entities    

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Improved directional-distance filter

JIN Lianghai, LI Dehua

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 2,   Pages 205-211 doi: 10.1007/s11465-008-0025-2

Abstract: traditional directional-distance filter (DDF) in a novel way, a new vector filter - the adaptive distance-weighted

Keywords： information     distance-weighted directional-distance     ADWDDF     traditional DDF     spatial-distance weighting    

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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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A modified harmony search algorithm and its applications in weighted fuzzy production rule extraction Research Article

Shaoqiang YE, Kaiqing ZHOU, Azlan Mohd ZAIN, Fangling WANG, Yusliza YUSOFF

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1574-1590 doi: 10.1631/FITEE.2200334

Abstract: further verification, HS-CS is used to optimize the back propagation neural network (BPNN) to extract weightedSimulation results show that the BPNN optimized by HS-CS can obtain higher classification accuracy of weighted

Keywords： Harmony search algorithm     Cuckoo search algorithm     Global convergence     Function optimization     Weighted    

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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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Multi-objective optimal design of braced frames using hybrid genetic and ant colony optimization

Mehdi BABAEI,Ebrahim SANAEI

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 4,   Pages 472-480 doi: 10.1007/s11709-016-0368-4

Abstract: Subsequently, using the weighted sum method (WSM), the two objective problem are converted to a single

Keywords： multi-objective     hybrid algorithm     ant colony     genetic algorithm     displacement     weighted sum method     steel    

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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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Title Author Date Type Operation

Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Journal Article

evaluation of renal function using diffusion weighted imaging and diffusion tensor imaging in type 2

Xiaoyan Chen,Wenxia Xiao,Xinchun Li,Jianxun He,Xiaochun Huang,Yuyu Tan

Journal Article

radiation fraction induced by interaction burning of tri-symmetric propane fires in open space based on weighted

Jie JI, Junrui DUAN, Huaxian WAN

Journal Article

A Hierarchical-Based Initialization Method for K-Means Algorithm

Tang Jiubin,Lu Jianfeng,Tang Zhenmin, Yang Jingyu

Journal Article

Label fusion for segmentation via patch based on local weighted voting

Kai ZHU, Gang LIU, Long ZHAO, Wan ZHANG

Journal Article

Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Journal Article

Improved directional-distance filter

JIN Lianghai, LI Dehua

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

A modified harmony search algorithm and its applications in weighted fuzzy production rule extraction

Shaoqiang YE, Kaiqing ZHOU, Azlan Mohd ZAIN, Fangling WANG, Yusliza YUSOFF

Journal Article

Challenges to Engineering Management in the Big Data Era

Yong Shi

Journal Article

Multi-objective optimal design of braced frames using hybrid genetic and ant colony optimization

Mehdi BABAEI,Ebrahim SANAEI

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