Resource Type

Journal Article 301

Year

2023 24

2022 21

2021 15

2020 12

2019 26

2018 12

2017 20

2016 17

2015 21

2014 15

2013 6

2012 20

2011 17

2010 10

2009 6

2008 12

2007 15

2006 7

2005 6

2004 5

open ︾

Keywords

Feature selection 7

feature extraction 6

fault diagnosis 4

velocity distribution 4

Antibiotic resistance genes 3

Distribution 3

Feature extraction 3

Weibull distribution 3

distribution 3

feature 3

temperature distribution 3

Bacterial community 2

CAPP 2

Characteristic 2

China 2

Dimensionality reduction 2

Feature learning 2

Lake sediment 2

Microplastic 2

open ︾

Search scope:

排序: Display mode:

Resource evaluation,position and distribution of tight sandstone gas in China

Zhang Guosheng ,Deng Songtao

Strategic Study of CAE 2012, Volume 14, Issue 6,   Pages 87-93

Abstract:

Based on the reservoir forming condition research of tight sandstone gas in Ordos Basin, Sichuan Basin and Tarim Basin, the authors give two types of tight sandstone gas reservoirs,sloped lithologic type and structural type which are the main of tight sandstone gas reservoir. The favorable gas region is predicted with multi-factor overlay method. And based on the existed tight sandstone gas reservoir analysis, the authors get the main parameters such as reservoir abundance, gas-bearing area coefficient which are necessary for gas resource calculation of the large basin through analogism method. According to the result of this resource evaluation, the tight sandstone gas geological recoverable resource in China is 9.2×1012~13.4×1012 m3 which is widely distributed over coal measure basins. The tight sandstone gas is the most realistic source in present. Due to the support of government policies and the motivation of technological progress, it might become one of the pillar sources in natural gas development in 10 to 20 years.

Keywords: tight sandstone gas     distribution feature     resource potential     development position    

Astatistical distribution texton feature for synthetic aperture radar image classification Article

Chu HE, Ya-ping YE, Ling TIAN, Guo-peng YANG, Dong CHEN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1614-1623 doi: 10.1631/FITEE.1601051

Abstract: We propose a novel statistical distribution texton (s-texton) feature for synthetic aperture radar (SARMotivated by the traditional texton feature, the framework of texture analysis, and the importance ofstatistical distribution in SAR images, the s-texton feature is developed based on the idea that parameterestimation of the statistical distribution can replace the filtering operation in the traditional textureIn the process of extracting the s-texton feature, several strategies are adopted, including pre-processing

Keywords: Synthetic aperture radar     Statistical distribution     Parameter estimation     Image classification    

Fast uniform content-based satellite image registration using the scale-invariant feature transform descriptor Article

Hamed BOZORGI, Ali JAFARI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8,   Pages 1108-1116 doi: 10.1631/FITEE.1500295

Abstract: The scale-invariant feature transform (SIFT) algorithm has been used successfully in satellite imagerobustness, this algorithm has some difficulties with the quality and quantity of the extracted local featureLDA) is used to transform the local features to global features while reducing dimensionality of the featurekernel on verification data and mapping them showed a successful retrieval rate of 91.67% for test feature

Keywords: Content-based image retrieval     Feature point distribution     Image registration     Linear discriminant analysis     Remote sensing     Scale-invariant feature transform    

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    

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    

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)    

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    

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    

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    

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    

Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 527-544 doi: 10.1007/s11708-023-0880-x

Abstract: Therefore, a fault detection method based on self-supervised feature learning was proposed to addressA comprehensive comparison study was also conducted with various feature extractors and unary classifiersmodel can detect progressive faults very quickly and achieve improved results for comparison without feature

Keywords: fault detection     unary classification     self-supervised representation learning     multivariate nonlinear time series    

Application of wavelet scalogram in feature extraction of acoustic emission signal

Xiao Siwen,Liao Chuanjun,Li Xuejun

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 69-75

Abstract: By analyzing the characteristics and feature extraction of typical AE signals, the paper applies wavelet

Keywords: wavelets scalogram     acoustic emission     feature extraction     fault diagnosis     rolling bearing    

A Face Recognition Based on Fusion Features Extraction From Two Kinds of Projection

Zhang Shengliang,Xu Yong,Yang Jian,Yang Jingyu

Strategic Study of CAE 2006, Volume 8, Issue 8,   Pages 50-55

Abstract: Then the fusion features in the complex feature space is extracted by using complex PCA (CPCA).

Keywords: feature fusion     linear discriminant analysis (LDA)     feature extraction     face recognition    

Feature selection techniques for microarray datasets: a comprehensive review, taxonomy, and future directions Review

Kulanthaivel BALAKRISHNAN, Ramasamy DHANALAKSHMI,bala.k.btech@gmail.com,r_dhanalakshmi@yahoo.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 10,   Pages 1451-1478 doi: 10.1631/FITEE.2100569

Abstract:

For optimal results, retrieving a relevant feature from a has become a hot topic for researchers involvedway for comprehending and highlighting the multitude of challenges and issues in finding the optimal featureaccuracy and convergence ability of several wrappers and hybrid algorithms to identify the optimal feature

Keywords: Feature selection     High dimensionality     Learning techniques     Microarray dataset    

Copper and zinc interaction on water clearance and tissue metal distribution in the freshwater mussel

Tianxiang XIA, Xuehua LIU

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 2,   Pages 236-242 doi: 10.1007/s11783-010-0218-8

Abstract: Copper and zinc interaction on clearance from water and distribution in different tissues was investigated

Keywords: interaction     mussel     copper     zinc     clearance     distribution    

Title Author Date Type Operation

Resource evaluation,position and distribution of tight sandstone gas in China

Zhang Guosheng ,Deng Songtao

Journal Article

Astatistical distribution texton feature for synthetic aperture radar image classification

Chu HE, Ya-ping YE, Ling TIAN, Guo-peng YANG, Dong CHEN

Journal Article

Fast uniform content-based satellite image registration using the scale-invariant feature transform descriptor

Hamed BOZORGI, Ali JAFARI

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

Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Journal Article

Application of wavelet scalogram in feature extraction of acoustic emission signal

Xiao Siwen,Liao Chuanjun,Li Xuejun

Journal Article

A Face Recognition Based on Fusion Features Extraction From Two Kinds of Projection

Zhang Shengliang,Xu Yong,Yang Jian,Yang Jingyu

Journal Article

Feature selection techniques for microarray datasets: a comprehensive review, taxonomy, and future directions

Kulanthaivel BALAKRISHNAN, Ramasamy DHANALAKSHMI,bala.k.btech@gmail.com,r_dhanalakshmi@yahoo.com

Journal Article

Copper and zinc interaction on water clearance and tissue metal distribution in the freshwater mussel

Tianxiang XIA, Xuehua LIU

Journal Article