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192 条结果, 检索条件:( ( *(AU:("Yogesh Singh")) ) )

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[期刊论文]

Empirical analysis of software reliability growth model for three-tier client-server system

作者:Pradeep Kumar ;Yogesh Singh

来源:International Journal of Industrial and Systems Engineering. 2013 ;14(3):352.doi:10.1504/IJISE.2013.054285

出版社:Inderscience Publishers

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[期刊论文]

A study on software reliability prediction models using soft computing techniques

作者:Pradeep Kumar ;Yogesh Singh

来源:International Journal of Information and Communication Technology. 2013 ;5(2):187.doi:10.1504/IJICT.2013.053119

出版社:Inderscience Publishers

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[期刊论文]

Prediction of testability using the design metrics for object-oriented software

作者:Yogesh Singh ;Anju Saha

来源:International Journal of Computer Applications in Technology. 2012 ;44(1):12.doi:10.1504/IJCAT.2012.048204

出版社:Inderscience Publishers

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[期刊论文]

Comparative analysis of software reliability predictions using statistical and machine learning methods

作者:Pradeep Kumar ;Yogesh Singh

来源:International Journal of Intelligent Systems Technologies and Applications. 2013 ;12(3/4):230.doi:10.1504/IJISTA.2013.056529

出版社:Inderscience Publishers

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[期刊论文]

Crystal growth and ambient and high pressure study of the re-entrant superconductor Tm 2 Fe 3 Si 5

作者:Yogesh Singh ;S Ramakrishnan

来源:Journal of Physics: Condensed Matter. 2008 ;20(23):235243.doi:10.1088/0953-8984/20/23/235243

出版社:IOP Publishing

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[期刊论文]

The H-T and P-T Phase Diagram of the Superconducting Phase in Pd:Bi2Te3

作者:Amit ;Yogesh Singh

来源:Journal of Superconductivity and Novel Magnetism. 2016 ;29(8):1975-1979.doi:10.1007/s10948-016-3499-x

出版社:Springer Nature

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[期刊论文]

Inverse dynamics and robust sliding mode control of a planar parallel (2-PRP and 1-PPR) robot augmented with a nonlinear disturbance observer

作者:Yogesh Singh ;M. Santhakumar

来源:Mechanism and Machine Theory. 2015 ;92:29-50.doi:10.1016/j.mechmachtheory.2015.05.002

出版社:Elsevier BV

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[期刊论文]

Destruction of charge density wave (CDW) ordering and enhancement of in the alloy system Lu5Ir4Si(1−xGex)10

作者:Yogesh Singh ;S. Ramakrishnan

来源:Physica B: Condensed Matter. 2005 ;359-361:494-496.doi:10.1016/j.physb.2005.01.125

出版社:Elsevier BV

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[期刊论文]

A case for the self-adaptation of activation functions in FFANNs

作者:Pravin Chandra ;Yogesh Singh

来源:Neurocomputing. 2004 ;56:447-454.doi:10.1016/j.neucom.2003.08.005

出版社:Elsevier BV

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[期刊论文]

An activation function adapting training algorithm for sigmoidal feedforward networks

作者:Pravin Chandra ;Yogesh Singh

来源:Neurocomputing. 2004 ;61:429-437.doi:10.1016/j.neucom.2004.04.001

出版社:Elsevier BV

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