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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 plotof load disaggregation through - trajectory-based load signature images by utilizing a multi-stage classificationalgorithm methodology.to be effective in classification of electrical appliances.The 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    

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Classifying multiclass relationships between ASes using graph convolutional network

Frontiers of Engineering Management   Pages 653-667 doi: 10.1007/s42524-022-0217-1

Abstract: inference algorithms, which mainly focus on peer-to-peer (P2P) and provider-to-customer (P2C) binary classificationThe proposed method achieves comparable results on the binary classification task and outperforms a series

Keywords： autonomous system     multiclass relationship     graph convolutional network     classification algorithm     Internet    

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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    

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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    

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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    

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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    

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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    

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UsingKinect for real-time emotion recognition via facial expressions

Qi-rong MAO,Xin-yu PAN,Yong-zhao ZHAN,Xiang-jun SHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4,   Pages 272-282 doi: 10.1631/FITEE.1400209

Abstract: A fusion algorithm based on improved emotional profiles (IEPs) and maximum confidence is proposed to

Keywords： Kinect     Emotion recognition     Facial expression     Real-time classification     Fusion algorithm     Support vector    

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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    

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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    

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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    

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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    

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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

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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    

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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.classified with the feature vector extracted from the collected data using the support vector machine algorithm

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

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Title Author Date Type Operation

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

Classifying multiclass relationships between ASes using graph convolutional network

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

Molecular classification and precision therapy of cancer: immune checkpoint inhibitors

Yingyan Yu

Journal Article

An approach for mechanical fault classification based on generalized discriminant analysis

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

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

UsingKinect for real-time emotion recognition via facial expressions

Qi-rong MAO,Xin-yu PAN,Yong-zhao ZHAN,Xiang-jun SHEN

Journal Article

Progress on molecular biomarkers and classification of malignant gliomas

Chuanbao Zhang, Zhaoshi Bao, Wei Zhang, Tao Jiang

Journal Article

Multiclass classification based on a deep convolutional

Ying CAI,Meng-long YANG,Jun LI

Journal Article

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

Xinjun LIU, Xiang CHEN, Zhidong LI

Journal Article

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

Lulu Ma,Xuerong Yu

Journal Article

Molecular classification and molecular targeted therapy of cancer

Miao Xu, Jianyong Shao, Yixin Zeng

Journal Article

Fine-grained P2P traffic classification by simply counting flows

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

Journal Article

Terrain classification and adaptive locomotion for a hexapod robot Qingzhui

Yue ZHAO, Feng GAO, Qiao SUN, Yunpeng YIN

Journal Article