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-means clustering 1

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Afeature selection approach based on a similarity measure for software defect prediction Article

Qiao YU, Shu-juan JIANG, Rong-cun WANG, Hong-yang WANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1744-1753 doi: 10.1631/FITEE.1601322

Abstract: To fully measure the correlation between different features and the class, we present a feature selectionFirst, the feature weights are updated according to the similarity of samples in different classes.Second, a feature ranking list is generated by sorting the feature weights in descending order, and allfeature subsets are selected from the feature ranking list in sequence.Finally, all feature subsets are evaluated on a k-nearest neighbor (KNN) model and measured by an area

Keywords： Software defect prediction     Feature selection     Similarity measure     Feature weights     Feature ranking list    

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Identification and ranking of the risky organic contaminants in the source water of the Danjiangkou reservoir

Qingwei BU, Donghong WANG, Zijian WANG, Junnong GU

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 1,   Pages 42-53 doi: 10.1007/s11783-013-0499-y

Abstract: high-ranked contaminants were polycyclic aromatic hydrocarbons (PAHs), with chrysene ranked highest on the list

Keywords： identification and ranking     source water     deconvolution     risk assessment     Danjiangkou     South to North Water    

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Review on ranking and selection: A new perspective

L. Jeff HONG, Weiwei FAN, Jun LUO

Frontiers of Engineering Management 2021, Volume 8, Issue 3,   Pages 321-343 doi: 10.1007/s42524-021-0152-6

Abstract: In this paper, we briefly review the development of ranking and selection (R&S) in the past 70 years,

Keywords： ranking and selection     hypothesis testing     dynamic programming     simulation    

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Phenomena identification and ranking table exercise for thorium based molten salt reactor-solid fuel

Xiaojing LIU, Qi WANG, Zhaozhong HE, Kun CHEN, Xu CHENG

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 707-714 doi: 10.1007/s11708-019-0616-0

Abstract: Thorium based molten salt reactor-solid fuel (TMSR-SF) design is an innovative reactor concept that uses high-temperature tristructural-isotropic (TRISO) fuel with a low-pressure liquid salt coolant. In anticipation of getting licensed applications for TMSR-SF in the future, it is necessary to fully understand the significant features and phenomena of TMSR-SF design, as well as its transient behavior during accidents. In this paper, the safety-relevant phenomena, importance, and knowledge base were assessed for the selected events and the transient of TMSR-SF during station blackout scenario is simulated based on RELAP/SCDAPSIM Mod 4.0. The phenomena having significant impact but with limited knowledge of their history are core coolant bypass flows, outlet plenum flow distribution, and intermediate heat exchanger (IHX) over/under cooling transients. Some thermal hydraulic parameters during the station blackout scenario are also discussed.

Keywords： phenomena identification and ranking table (PIRT)     thorium based molten salt reactor-solid fuel (TMSR-SF    

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Elements’ important ranking of China drug safety management system: applying the non-structural

Xiaoping ZHENG, Xiaocui WANG, Tingkuan ZHONG,

Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 3,   Pages 290-299 doi: 10.1007/s11705-009-0283-5

Abstract: This study not only points out the important ranking of the pivotal elements in China drug safety management

Keywords： management system     different     management     important ranking     non-structural fuzzy    

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Affective rating ranking based on face images in arousal-valence dimensional space None

Guo-peng XU, Hai-tang LU, Fei-fei ZHANG, Qi-rong MAO

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6,   Pages 783-795 doi: 10.1631/FITEE.1700270

Abstract: Therefore, we propose an affective rating ranking framework for affect recognition based on face imagesdatabase of the AVEC 2015 Challenge and the selected subset of SEMAINE database, we find that our ordinal ranking

Keywords： Ordinal ranking     Dimensional affect recognition     Valence     Arousal     Facial image processing    

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Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 829-839 doi: 10.1007/s11465-021-0652-4

Abstract: this problem, an imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph featureeffectively achieve rotating machinery fault diagnosis towards imbalanced training dataset through graph feature

Keywords： imbalanced fault diagnosis     graph feature learning     rotating machinery     autoencoder    

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Dynamic simulation of gas turbines via feature similarity-based transfer learning

Dengji ZHOU, Jiarui HAO, Dawen HUANG, Xingyun JIA, Huisheng ZHANG

Frontiers in Energy 2020, Volume 14, Issue 4,   Pages 817-835 doi: 10.1007/s11708-020-0709-9

Abstract: dynamic operating data set with steep slope signals is created based on physics equations and then a featuresimilarity-based learning model with an encoder and a decoder is built and trained to achieve feature

Keywords： gas turbine     dynamic simulation     data-driven     transfer learning     feature similarity    

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Build orientation determination of multi-feature mechanical parts in selective laser melting via multi-objective

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0737-8

Abstract: This study proposes a method to determine the build orientation of multi-feature mechanical parts (MFMPsThe weights of the feature groups and considered objectives are achieved by a fuzzy analytical hierarchyThe measured average sampling surface roughness of the most crucial feature of the bracket in the original

Keywords： selective laser melting (SLM)     build orientation determination     multi-feature mechanical part (MFMP)    

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Algorithm Design for Improving Feature Extraction Efficiency Based on KPCA

Xu Yong,Yangjingyu,Lu Jianfeng

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 38-42

Abstract: It can extract nonlinear feature components of samples.However, feature extraction for one sample requires that kernel functions between training samples andSo, the size of training sample set affects the efficiency of feature extraction.It is supposed that in feature space the eigenvectors may be linearly expressed by a part of trainingIKPCA extracts feature components of one sample efficiently, only based on kernel functions between nodes

Keywords： KPCA(Kernel PCA)     IKPCA(Improved KPCA)     feature extraction     feature space    

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composition differences between processed protein from different animal species by self-organizing feature

Xingfan ZHOU,Zengling YANG,Longjian CHEN,Lujia HAN

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 2,   Pages 171-179 doi: 10.15302/J-FASE-2016095

Abstract: In this study, self-organizing feature maps (SOFM) were used to visualize amino acid composition of fish

Keywords： self-organizing feature maps     visualization     processed animal proteins (PAPs)     amino acid    

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Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet

Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 406-419 doi: 10.1007/s11465-017-0419-0

Abstract: several unique characteristics: Complex frequency components, low signal-to-noise ratio, and weak fault featureAiming to extract the fault feature of planet gear effectively, we propose a novel feature extractioncollected from the wind turbine gearbox test rig demonstrate that the proposed method is effective at the feature

Keywords： wind turbine     planet gear fault     feature extraction     spectral kurtosis     time wavelet energy spectrum    

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Speech emotion recognitionwith unsupervised feature learning

Zheng-wei HUANG,Wen-tao XUE,Qi-rong MAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5,   Pages 358-366 doi: 10.1631/FITEE.1400323

Abstract: In this paper, we apply several unsupervised feature learning algorithms (including -means clustering

Keywords： Speech emotion recognition     Unsupervised feature learning     Neural network     Affect computing    

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Title Author Date Type Operation

Afeature selection approach based on a similarity measure for software defect prediction

Qiao YU, Shu-juan JIANG, Rong-cun WANG, Hong-yang WANG

Journal Article

Identification and ranking of the risky organic contaminants in the source water of the Danjiangkou reservoir

Qingwei BU, Donghong WANG, Zijian WANG, Junnong GU

Journal Article

Review on ranking and selection: A new perspective

L. Jeff HONG, Weiwei FAN, Jun LUO

Journal Article

Phenomena identification and ranking table exercise for thorium based molten salt reactor-solid fuel

Xiaojing LIU, Qi WANG, Zhaozhong HE, Kun CHEN, Xu CHENG

Journal Article

Elements’ important ranking of China drug safety management system: applying the non-structural

Xiaoping ZHENG, Xiaocui WANG, Tingkuan ZHONG,

Journal Article

Chinese Academy of Engineering Announces the List of Newly Elected Academicians

Journal Article

List of New Leaders, Presidium Members and Directors of All Departments of Chinese Academy of Engineering

Journal Article

Affective rating ranking based on face images in arousal-valence dimensional space

Guo-peng XU, Hai-tang LU, Fei-fei ZHANG, Qi-rong MAO

Journal Article

Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning

Journal Article

Dynamic simulation of gas turbines via feature similarity-based transfer learning

Dengji ZHOU, Jiarui HAO, Dawen HUANG, Xingyun JIA, Huisheng ZHANG

Journal Article

Build orientation determination of multi-feature mechanical parts in selective laser melting via multi-objective

Journal Article

Algorithm Design for Improving Feature Extraction Efficiency Based on KPCA

Xu Yong,Yangjingyu,Lu Jianfeng

Journal Article

composition differences between processed protein from different animal species by self-organizing feature

Xingfan ZHOU,Zengling YANG,Longjian CHEN,Lujia HAN

Journal Article

Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet

Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU

Journal Article

Speech emotion recognitionwith unsupervised feature learning

Zheng-wei HUANG,Wen-tao XUE,Qi-rong MAO

Journal Article