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A Framework Design of the Future Engineer Classification of China

Wen Liang,Weng Jingbo,He Jishan

Strategic Study of CAE 2007, Volume 9, Issue 8, Pages 15-20

Abstract: The consistency of engineers'educational background, working experience, qualificationand its own present engineer specialty classification situation.and non-registered engineers.classifications, synthesizing China's present situation, and summarizing a series of the current occupationclassifications and the code table of discipline classification, the Chinese engineers can be

Keywords： China classification of engineers’ occupation certified engineer system mutual acceptance agreement ofinternational engineers

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Advances of 12^th CAPS research symposium: young chemists and chemical engineers fronts

Guoping Hu, Baiqian Dai

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 3, Pages 461-463 doi: 10.1007/s11705-020-2026-6

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Engineers as business leaders: A need to investigate formative collegiate experiences of highly successfulexecutive-level engineers

Frontiers of Engineering Management 2022, Volume 9, Issue 1, Pages 159-162 doi: 10.1007/s42524-021-0183-z

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Key factors that affect engineers ethical tendencyLong Xiang

Long Xiang

Strategic Study of CAE 2009, Volume 11, Issue 2, Pages 92-96

Abstract: value view ; social culture, technological efficiency and environment are the key factors that affect engineersAnd it discusses how the four factors affect the ethical sele ction and moral tendency of engineers in

Keywords： engineers ethical tendency individual value view social culture technological efficiency environment

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Can Engineers Lead Again? Views & Comments

Keith Clarke, CBE

Engineering 2016, Volume 2, Issue 1, Pages 19-20 doi: 10.1016/J.ENG.2016.01.005

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Engineers Should Be Full of Philoshophical Thinking

Xu Kuangdi

Strategic Study of CAE 2007, Volume 9, Issue 8, Pages 4-5

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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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Engineers: The Key to Sustainable Water Use

Neil Andrew

Engineering 2018, Volume 4, Issue 5, Pages 586-587 doi: 10.1016/j.eng.2018.08.008

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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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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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Display Engineers Pack the Pixels

Mitch Leslie

Engineering 2021, Volume 7, Issue 7, Pages 897-898 doi: 10.1016/j.eng.2021.06.002

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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