Resource Type

Journal Article 582

Conference Videos 9

Year

2024 2

2023 51

2022 68

2021 46

2020 42

2019 40

2018 40

2017 36

2016 31

2015 40

2014 14

2013 21

2012 24

2011 10

2010 11

2009 9

2008 17

2007 18

2006 21

2005 6

open ︾

Keywords

multi-objective optimization 24

Multi-agent systems 10

Multi-agent system 8

classification 7

multi-objective 5

COVID-19 4

different 4

genetic algorithm 4

robust design 4

Artificial intelligence 3

China 3

Multi-objective optimization 3

convolutional neural network 3

molecular classification 3

5G 2

Adsorption 2

Antenna-in-package (AiP) 2

CO2 emissions 2

Classification 2

open ︾

Search scope:

排序： Display mode:

Supervised topic models with weighted words: multi-label document classification None

Yue-peng ZOU, Ji-hong OUYANG, Xi-ming LI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 513-523 doi: 10.1631/FITEE.1601668

Abstract: Supervised topic modeling algorithms have been successfully applied to multi-label document classificationi.e., the number of classes where a word has occurred in the training data), which is significant for classificationA number of experiments have been conducted on real-world multi-label datasets.

Keywords： Supervised topic model     Multi-label classification     Class frequency     Labeled latent Dirichlet allocation    

HTML PDF Collect

A graph-based two-stage classification network for mobile screen defect inspection Research Article

Chaofan ZHOU, Meiqin LIU, Senlin ZHANG, Ping WEI, Badong CHEN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 2,   Pages 203-216 doi: 10.1631/FITEE.2200524

Abstract: low contrast, tiny-sized, or incomplete defects, and (3) the modeling of category dependencies for multi-labelTo solve these problems, a graph reasoning module, stacked on a classification module, is proposed toTo further improve the classification performance, the classifier of the classification module is redesignedWith the help of contrastive learning, the classification module can better initialize the category-wise

Keywords： Graph-based methods     Multi-label classification     Mobile screen defects     Neural networks    

HTML PDF Collect

Urban landscape classification using Chinese advanced high-resolution satellite imagery and an object-orientedmulti-variable model

Li-gang MA,Jin-song DENG,Huai YANG,Yang HONG,Ke WANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 238-248 doi: 10.1631/FITEE.1400083

Abstract: Its capability for comprehensive landscape classification, especially in urban areas, has been underand heterogeneity across urban environments, we attempt to test its performance of urban landscape classificationselected using forward stepwise linear discriminant analysis and applied in the following object-oriented classificationResults indicated an overall classification accuracy of 92.63% and a kappa statistic of 0.9124.presented method and the Chinese ZY-1 02C satellite imagery are robust and effective for urban landscape classification

Keywords： ZY-1 02C satellite     Classification     Urban     Multi-variable model    

HTML PDF Collect

A systematic approach in load disaggregation utilizing a multi-stage classification algorithm for consumerelectrical appliances classification

Chuan Choong YANG, Chit Siang SOH, Vooi Voon YAP

Frontiers in Energy 2019, Volume 13, Issue 2,   Pages 386-398 doi: 10.1007/s11708-017-0497-z

Abstract: The classification algorithm performs cropping and image pyramid reduction of the - trajectory plotsystematic approach of load disaggregation through - trajectory-based load signature images by utilizing a multi-stageclassification algorithm methodology.the number of closest data points to the nearest neighbor, in the -NN algorithm to be effective in classificationThe results of the multi-stage classification algorithm implementation have been discussed and the idea

Keywords： load disaggregation     voltage-current (V-I) trajectory     multi-stage classification algorithm    

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

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: Intelligent power systems can improve operational efficiency by installing a large number of sensors. Data-based methods of supervised learning have gained popularity because of available Big Data and computing resources. However, the common paradigm of the loss function in supervised learning requires large amounts of labeled data and cannot process unlabeled data. The scarcity of fault data and a large amount of normal data in practical use pose great challenges to fault detection algorithms. Moreover, sensor data faults in power systems are dynamically changing and pose another challenge. Therefore, a fault detection method based on self-supervised feature learning was proposed to address the above two challenges. First, self-supervised learning was employed to extract features under various working conditions only using large amounts of normal data. The self-supervised representation learning uses a sequence-based Triplet Loss. The extracted features of large amounts of normal data are then fed into a unary classifier. The proposed method is validated on exhaust gas temperatures (EGTs) of a real-world 9F gas turbine with sudden, progressive, and hybrid faults. A comprehensive comparison study was also conducted with various feature extractors and unary classifiers. The results show that the proposed method can achieve a relatively high recall for all kinds of typical faults. The model can detect progressive faults very quickly and achieve improved results for comparison without feature extractors in terms of F1 score.

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

HTML PDF Collect

Ionically Imprinting-Based Copper (Ⅱ) Label-Free Detection for Preventing Hearing Loss Article

Huan Wang, Hui Zhang, Xiaoli Zhang, Hong Chen, Ling Lu, Renjie Chai

Engineering doi: 10.1016/j.eng.2023.09.001

Abstract: in solution, IIHBs recognize Cu2+ and exhibit a reflective peak change, thereby achieving label-free

Keywords： Structural color     Microfluidics Ionic imprinting     Label-free detection     Hearing loss    

HTML PDF Collect

Deep convolutional neural network for multi-level non-invasive tunnel lining assessment

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2,   Pages 214-223 doi: 10.1007/s11709-021-0800-2

Abstract: The paper proposes a multi-level strategy, designed and implemented on the basis of periodic structural

Keywords： concrete structure     GPR     damage classification     convolutional neural network     transfer learning    

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

A knowledge matching approach based on multi-classification radial basis function neural network for Research Articles

Shu-you Zhang, Ye Gu, Guo-dong Yi, Zi-li Wang,zsy@zju.edu.cn,me_guye@zju.edu.cn,ygd@zju.edu.cn,ziliwang@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 7,   Pages 963-1118 doi: 10.1631/FITEE.1900057

Abstract: In addition, we propose a multi-classification radial basis function neural network that can match the

Keywords： Product design     Knowledge push system     Augmented training set     Multi-classification neural network     Knowledge    

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

Shrink-induced graphene sensor for alpha-fetoprotein detection with low-cost self-assembly and label-free

Shota SANDO, Bo ZHANG, Tianhong CUI

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 4,   Pages 574-580 doi: 10.1007/s11465-017-0485-3

Abstract: being used in sensing applications for pH and alpha-fetoprotein (AFP) detection with advantages of labelthe sensor also has a significant potential for biosensing as it relies on low-cost self-assembly and label-free

Keywords： graphene     self-assembly     shrink polymer     AFP     label-free     biosensor    

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

Fault classification and reconfiguration of distribution systems using equivalent capacity margin method

K. Sathish KUMAR, T. JAYABARATHI

Frontiers in Energy 2012, Volume 6, Issue 4,   Pages 394-402 doi: 10.1007/s11708-012-0211-0

Abstract: This paper investigates the capability of support vector machines (SVM) for prediction of fault classificationHere, the SVM has been used as a classification.

Keywords： machines (SVM)     structural risk minimization (SRM)     equivalent capacity margin (ECM)     restoration     fault classification    

HTML PDF Collect

Progress on molecular biomarkers and classification of malignant gliomas

Chuanbao Zhang, Zhaoshi Bao, Wei Zhang, Tao Jiang

Frontiers of Medicine 2013, Volume 7, Issue 2,   Pages 150-156 doi: 10.1007/s11684-013-0267-1

Abstract: However, heterogeneity in patient outcomes may still be observed, which highlights the insufficiency of a classification

Keywords： malignant glioma     molecular biomarker     IDH1     MGMT     molecular classification    

HTML PDF Collect

Title Author Date Type Operation

Supervised topic models with weighted words: multi-label document classification

Yue-peng ZOU, Ji-hong OUYANG, Xi-ming LI

Journal Article

A graph-based two-stage classification network for mobile screen defect inspection

Chaofan ZHOU, Meiqin LIU, Senlin ZHANG, Ping WEI, Badong CHEN

Journal Article

Urban landscape classification using Chinese advanced high-resolution satellite imagery and an object-orientedmulti-variable model

Li-gang MA,Jin-song DENG,Huai YANG,Yang HONG,Ke WANG

Journal Article

A systematic approach in load disaggregation utilizing a multi-stage classification algorithm for consumerelectrical appliances classification

Chuan Choong YANG, Chit Siang SOH, Vooi Voon YAP

Journal Article

An approach for mechanical fault classification based on generalized discriminant analysis

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

Journal Article

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

Journal Article

Ionically Imprinting-Based Copper (Ⅱ) Label-Free Detection for Preventing Hearing Loss

Huan Wang, Hui Zhang, Xiaoli Zhang, Hong Chen, Ling Lu, Renjie Chai

Journal Article

Deep convolutional neural network for multi-level non-invasive tunnel lining assessment

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

A knowledge matching approach based on multi-classification radial basis function neural network for

Shu-you Zhang, Ye Gu, Guo-dong Yi, Zi-li Wang,zsy@zju.edu.cn,me_guye@zju.edu.cn,ygd@zju.edu.cn,ziliwang@zju.edu.cn

Journal Article

Molecular classification and precision therapy of cancer: immune checkpoint inhibitors

Yingyan Yu

Journal Article

Shrink-induced graphene sensor for alpha-fetoprotein detection with low-cost self-assembly and label-free

Shota SANDO, Bo ZHANG, Tianhong CUI

Journal Article

EAI-oriented information classification code system in manufacturing enterprises

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

Journal Article

Fault classification and reconfiguration of distribution systems using equivalent capacity margin method

K. Sathish KUMAR, T. JAYABARATHI

Journal Article

Progress on molecular biomarkers and classification of malignant gliomas

Chuanbao Zhang, Zhaoshi Bao, Wei Zhang, Tao Jiang

Journal Article