Resource Type

Journal Article 149

Conference Videos 1

Year

2023 13

2022 10

2021 8

2020 10

2019 17

2018 13

2017 19

2016 5

2015 11

2014 1

2013 5

2012 8

2011 3

2010 1

2009 1

2008 3

2007 3

2006 5

2005 2

2004 2

open ︾

Keywords

Feature selection 8

classification 7

feature extraction 6

Classification 4

Feature extraction 4

fault diagnosis 4

Machine learning 3

feature 3

molecular classification 3

CAPP 2

Concept drift 2

Data stream 2

Deep convolutional neural network 2

Deep learning 2

Dimensionality reduction 2

Feature learning 2

Support vector machine (SVM) 2

concrete structure 2

convolutional neural network 2

open ︾

Search scope:

排序： Display mode:

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

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    

HTML PDF Collect

Two-level hierarchical feature learning for image classification Article

Guang-hui SONG,Xiao-gang JIN,Gen-lang CHEN,Yan NIE

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 9,   Pages 897-906 doi: 10.1631/FITEE.1500346

Abstract: In some image classification tasks, similarities among different categories are different and the sampleshighly similar categories, more specific features are required so that the classifier can improve the classificationSecond, the general feature extracted from all the categories and the specific feature extracted fromOur proposed method effectively increases the classification accuracy in comparison with flat multipleclassification methods.

Keywords： Transfer learning     Feature learning     Deep convolutional neural network     Hierarchical classification    

HTML PDF Collect

Automatic malware classification and new malwaredetection using machine learning Article

Liu LIU, Bao-sheng WANG, Bo YU, Qiu-xi ZHONG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9,   Pages 1336-1347 doi: 10.1631/FITEE.1601325

Abstract: The explosive growth of malware variants poses a major threatto information security. Traditional anti-virus systems based on signaturesfail to classify unknown malware into their corresponding familiesand to detect new kinds of malware programs. Therefore, we proposea machine learning based malware analysis system, which is composedof three modules: data processing, decision making, and new malwaredetection. The data processing module deals with gray-scale images,Opcode n-gram, and import functions, which are employed to extractthe features of the malware. The decision-making module uses the featuresto classify the malware and to identify suspicious malware. Finally,the detection module uses the shared nearest neighbor (SNN) clusteringalgorithm to discover new malware families. Our approach is evaluatedon more than 20 000 malware instances, which were collected by Kingsoft,ESET NOD32, and Anubis. The results show that our system can effectivelyclassify the unknown malware with a best accuracy of 98.9%, and successfullydetects 86.7% of the new malware.

Keywords： Malware classification     Machine learning     n-gram     Gray-scale image     Feature extraction     Malware detection    

HTML PDF Collect

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 (SAR) image classification.Motivated 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 parameterIn 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    

HTML PDF Collect

A new feature selection method for handling redundant information in text classification None

You-wei WANG, Li-zhou FENG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2,   Pages 221-234 doi: 10.1631/FITEE.1601761

Abstract: Feature selection is an important approach to dimensionality reduction in the field of text classificationFurthermore, an optimal feature selection (OFS) method is chosen to obtain a feature subset FS1.The results show that the classification accuracy of the proposed method is generally higher than thatsimultaneously ensuring classification accuracy.results validate the effectiveness of the proposed method in handling redundant information in text classification

Keywords： Feature selection     Dimensionality reduction     Text classification     Redundant features     Support vector machine    

HTML PDF Collect

Classification of EEG-based single-trial motor imagery tasks using aB-CSP method forBCI Research Articles

Zhi-chuan TANG, Chao LI, Jian-feng WU, Peng-cheng LIU, Shi-wei CHENG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 8,   Pages 1087-1098 doi: 10.1631/FITEE.1800083

Abstract: However, the low signal-to-noise ratio and individual differences of EEG can affect the classificationAnother two conventional feature extraction methods, original common spatial pattern (CSP) and autoregressiveAn improved classification performance for both data sets (public data set: 91.25%±1.77% for left hand

Keywords： Electroencephalogram (EEG)     Motor imagery (MI)     Improved common spatial pattern (B-CSP)     Feature extraction     Classification    

HTML PDF Collect

The Realistic Pattern and Path Choice of the Development of Agricultural Software Industry

Ma Chen, Li Jin, Zhang Qian, Feng Xian, Jie Xiaojing

Strategic Study of CAE 2021, Volume 23, Issue 4,   Pages 19-29 doi: 10.15302/J-SSCAE-2021.04.003

Abstract:

As the integration of information technology and agricultural development accelerates, the agricultural software industry has emerged to support the development of smart agriculture. In this article, we first analyze the development status of and challenges faced by China’s agricultural software industry by analyzing the development strategies of the industry in China and abroad and using literature review and survey data. Subsequently, we propose the strategic goals, major engineering projects, and policy measures for the development of China’s agricultural software industry. China’s agricultural software industry has a large gap with other countries in terms of technology development and promotion, enterprise operation, and user accumulation. The major challenges include difficulty in development, weak innovation capabilities, low return on investment, and insufficient protection of intellectual property rights, restricting the growth of China’s agricultural software industry. China should regard the software development of agricultural technologies as the main line and focus on strengthening the innovative capabilities of its agricultural software industry by 2035. The major engineering projects we proposed involve agricultural enabling software and platform development, precision agriculture management software application promotion, agricultural software industry cluster establishment, and agricultural software enterprise cultivation. Furthermore, China should improve its policy support system, strengthen the overall coordination mechanism, optimize the discipline system, and strengthen talent training for the agricultural software industry.

Keywords： agricultural software industry     feature classification     current pattern     path choice     suggestions for    

HTML PDF Collect

Development of a new method for RMR and Q classification method to optimize support system in tunneling

Asghar RAHMATI,Lohrasb FARAMARZI,Manouchehr SANEI

Frontiers of Structural and Civil Engineering 2014, Volume 8, Issue 4,   Pages 448-455 doi: 10.1007/s11709-014-0262-x

Abstract: Rock mass classification system is very suitable for various engineering design and stability analysisclassification method is confirmed by Japan Highway Public Corporation that this method can figure outThese equations as a new method were able to optimize the support system for and classification systemsFrom classification and its application in these case studies, it is pointed out that the methodfor the design of support systems in underground working is more reliable than the and classification

Keywords： JH classification     Q and RMR classification     new method    

HTML PDF Collect

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    

HTML PDF Collect

Molecular classification and precision therapy of cancer: immune checkpoint inhibitors

Yingyan Yu

Frontiers of Medicine 2018, Volume 12, Issue 2,   Pages 229-235 doi: 10.1007/s11684-017-0581-0

Abstract: Taking gastric cancer as an example, its molecular classification is built on genome abnormalities, butSubsequently, by using their findings, oncologists will carry out targeted therapy based on molecular classification

Keywords： molecular classification     precision medicine     pembrolizumab     PD-1/PD-L1     MSI-H    

HTML PDF Collect

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    

HTML PDF Collect

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)    

HTML PDF Collect

An approach for mechanical fault classification based on generalized discriminant analysis

LI Wei-hua, SHI Tie-lin, YANG Shu-zi

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 292-298 doi: 10.1007/s11465-006-0022-2

Abstract: To deal with pattern classification of complicated mechanical faults, an approach to multi-faults classificationKPCA is good at detection of machine abnormality while GDA performs well in multi-faults classificationWhen the proposed method is applied to air compressor condition classification and gear fault classification, an excellent performance in complicated multi-faults classification is presented.

Keywords： generalized discriminant     non-separable     abnormality     classification     multi-faults classification    

HTML PDF Collect

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    

HTML PDF Collect

EAI-oriented information classification code system in manufacturing enterprises

WANG Junbiao, DENG Hu, JIANG Jianjun, YANG Binghong, WANG Bailing

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 1,   Pages 81-85 doi: 10.1007/s11465-008-0011-8

Abstract: Although the traditional information classification coding system in manufacturing enterprises (MEs)integration (EAI) in manufacturing enterprises, an enterprise application integration oriented information classificationEAIO-ICCS expands the connotation of the information classification code system and assures the identity

Keywords： EAI     EAIO-ICCS     management     classification     connotation    

HTML PDF Collect

Title Author Date Type Operation

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

Journal Article

Two-level hierarchical feature learning for image classification

Guang-hui SONG,Xiao-gang JIN,Gen-lang CHEN,Yan NIE

Journal Article

Automatic malware classification and new malwaredetection using machine learning

Liu LIU, Bao-sheng WANG, Bo YU, Qiu-xi ZHONG

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

A new feature selection method for handling redundant information in text classification

You-wei WANG, Li-zhou FENG

Journal Article

Classification of EEG-based single-trial motor imagery tasks using aB-CSP method forBCI

Zhi-chuan TANG, Chao LI, Jian-feng WU, Peng-cheng LIU, Shi-wei CHENG

Journal Article

The Realistic Pattern and Path Choice of the Development of Agricultural Software Industry

Ma Chen, Li Jin, Zhang Qian, Feng Xian, Jie Xiaojing

Journal Article

Development of a new method for RMR and Q classification method to optimize support system in tunneling

Asghar RAHMATI,Lohrasb FARAMARZI,Manouchehr SANEI

Journal Article

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

Journal Article

Molecular classification and precision therapy of cancer: immune checkpoint inhibitors

Yingyan Yu

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

An approach for mechanical fault classification based on generalized discriminant analysis

LI Wei-hua, SHI Tie-lin, YANG Shu-zi

Journal Article

Algorithm Design for Improving Feature Extraction Efficiency Based on KPCA

Xu Yong,Yangjingyu,Lu Jianfeng

Journal Article

EAI-oriented information classification code system in manufacturing enterprises

WANG Junbiao, DENG Hu, JIANG Jianjun, YANG Binghong, WANG Bailing

Journal Article