Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 92

Conference Videos 3

Year

2023 5

2022 10

2021 6

2020 8

2019 11

2018 8

2017 10

2016 3

2015 7

2014 1

2013 4

2012 7

2011 1

2009 1

2008 1

2007 2

2006 3

2005 1

2003 2

2002 3

open ︾

Keywords

classification 8

Classification 4

Machine learning 4

molecular classification 3

Artificial intelligence 2

Deep convolutional neural network 2

Deep learning 2

Feature extraction 2

Malware classification 2

Multi-label classification 2

Support vector machine (SVM) 2

concrete structure 2

convolutional neural network 2

JH classification 1

Q and RMR classification 1

k-nearest neighbor (k-NN) 1

Active learning 1

Adversarial samples 1

Airflow acceleration classification 1

open ︾

Search scope:

排序： Display mode:

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 classificationThe results show that the classification accuracy of the proposed method is generally higher than thatfeature selection based on maximum dependency and minimum redundancy) while simultaneously ensuring classificationStatistical results validate the effectiveness of the proposed method in handling redundant information in textclassification.

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

HTML PDF Collect

Topicmodeling for large-scale text data

Xi-ming LI,Ji-hong OUYANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6, Pages 457-465 doi: 10.1631/FITEE.1400352

Abstract: This paper develops a novel online algorithm, namely moving average stochastic variational inference (MASVI), which applies the results obtained by previous iterations to smooth out noisy natural gradients. We analyze the convergence property of the proposed algorithm and conduct a set of experiments on two large-scale collections that contain millions of documents. Experimental results indicate that in contrast to algorithms named ‘stochastic variational inference’ and ‘SGRLD’, our algorithm achieves a faster convergence rate and better performance.

Keywords： Latent Dirichlet allocation (LDA) Topic modeling Online learning Moving average

HTML PDF Collect

Using Text Mining to Evaluate the China Manufacturing Regional Action Plan

Kong Dejing Dong Fang Li Zhaofu Qu Xianming

Strategic Study of CAE 2017, Volume 19, Issue 3, Pages 149-158 doi: 10.15302/J-SSCAE-2017.03.021

Abstract:

Guidelines for the implementation of the China Manufacturing Regionaldocuments based on Chinese word segmentation, feature extraction, and similarity calculation using text

Keywords： regional action plan text mining similarity calculation

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

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

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

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

Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11, Pages 930-939 doi: 10.1631/FITEE.1500125

Abstract: Finally, feature extraction filters are optimized together with the weight of the classification componentthrough training, to minimize the classification error.

Keywords： Head pose estimation Deep convolutional neural network Multiclass classification

HTML PDF Collect

Modular design of typical rigid links in parallel kinematic machines: Classification and topology optimization

Xinjun LIU, Xiang CHEN, Zhidong LI

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 2, Pages 199-209 doi: 10.1007/s11465-012-0315-6

Abstract: seeking optimal structures with best mechanical performances is analyzed and processed in two steps: classification

Keywords： parallel kinematic machines (PKMs) modular design classification topology optimization and improved Guide-Weight

HTML PDF Collect

Arthrogryposis multiplex congenita: classification, diagnosis, perioperative care, and anesthesia

Lulu Ma,Xuerong Yu

Frontiers of Medicine 2017, Volume 11, Issue 1, Pages 48-52 doi: 10.1007/s11684-017-0500-4

Abstract: Thus, accurate diagnosis and classification are crucial to the appropriate treatment of AMC.treatment and perioperative management of patients undergoing surgery, as well as the diagnosis and classification

Keywords： arthrogryposis amyoplasia distal arthrogryposis anesthesia

HTML PDF Collect

Molecular classification and molecular targeted therapy of cancer

Miao Xu, Jianyong Shao, Yixin Zeng

Frontiers of Medicine 2013, Volume 7, Issue 2, Pages 147-149 doi: 10.1007/s11684-013-0274-2

HTML PDF Collect

Fine-grained P2P traffic classification by simply counting flows

Jie HE,Yue-xiang YANG,Yong QIAO,Wen-ping DENG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5, Pages 391-403 doi: 10.1631/FITEE.1400267

Abstract: Therefore, P2P applications monitoring, in particular, P2P traffic classification, is becoming increasinglyIn this paper, we propose a novel approach for accurate P2P traffic classification at a fine-grainedFirstly, it can achieve a high classification accuracy by exploiting only several generic propertiesSecondly, it can work well even if the classification target is running with other high bandwidth-consuming

Keywords： Traffic classification Peer-to-peer (P2P) Fine-grained Host-based

HTML PDF Collect

Terrain classification and adaptive locomotion for a hexapod robot Qingzhui

Yue ZHAO, Feng GAO, Qiao SUN, Yunpeng YIN

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2, Pages 271-284 doi: 10.1007/s11465-020-0623-1

Abstract: A terrain classification and adaptive locomotion method for a hexapod robot named Qingzhui is proposedFirst, a force-based terrain classification method is suggested.

Keywords： terrain classification hexapod robot legged robot adaptive locomotion gait control