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13篇 您的检索式：作者名="Garg KC"

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		题名	作者	年代	出处	被引量
	1	Cerebral sinovenous thrombosis in the neonate显示文摘	Williams LS Garg BP	2006	Arch Neurol2006，63，：	1
	2	Cerebral sinovenous thrombosis in the neonate 显示文摘	Fitzgerald KC Williams LS Garg BP	2006	Archives of Neurology2006，63，：	1
	3	Scientometrics of the international journal scientometrics显示文摘	Dutt B Garg KC Bali A	2003	Scientometrics2003，56，1：	1
	4	A study of collaboration in laser science and technology显示文摘	Garg KC Padhi P	2001	Scientometrics2001，51，：	1
	5	Patent statistics as in- dicators of competition an analysis of patenting in biotechnology 显示文摘	BANERJEE P GUPTA BM GARG KC	2000	Scientometrics2000，47，1：	1
	6	Bibliometrics of global malaria vaccine research显示文摘	Garg KC Kumar S Madhavi Y	2009	Health Info Libr J(S1471-1834)2009，26，1：	1
	7	Cerebral sinovenous thrombosis in the neonate显示文摘	Fitzgerald KC Williams LS Garg BP	2006	Arch Neurol2006，63，3：	1
	8	Pre-meal insulin analogue insulin lispro vs humulin rinsulin treatment in young subjects with type 1 diabetes显示文摘	Garg SK Carmain JA Braddy KC	1996	Diabet Med1996，13，1：	1
	9	A Study of collaboration in laser science and technology显示文摘	Garg KC Padhi P	2001	Scientometrics2001，51，2：	1
	10	Epilepsy in children with delayed presentation of perinatal stroke显示文摘	Fitzgerald KC Williams LS Garg BP	2007	J Child Neurol2007，22，：	1
	11	Scientometrics of laser research in India and China显示文摘	Garg KC	2002	Scientometrics2002，55，1：	1
	12	An efficient framework for ensemble of natural disaster simulations as a service显示文摘Calculations of risk from natural disasters may require ensembles of hundreds of thousands of simulations to accurately quantify the complex relationships between the outcome of a disaster and its contributing factors.Such large ensembles cannot typically be run on a single computer due to the limited computational resources available.Cloud Computing offers an attractive alternative,with an almost unlimited capacity for computation,storage,and network bandwidth.However,there are no clear mechanisms that define how to implement these complex natural disaster ensembles on the Cloud with minimal time and resources.As such,this paper proposes a system framework with two phases of cost optimization to run the ensembles as a service over Cloud.The cost is minimized through efficient distribution of the simulations among the cost-efficient instances and intelligent choice of the instances based on pricing models.We validate the proposed framework using real Cloud environment with real wildfire ensemble scenarios under different user requirements.The experimental results give an edge to the proposed system over the bag-of-task type execution on the Clouds with less cost and better flexibility.	Ujjwal KC Saurabh Garg James Hilton	2020	Geoscience Frontiers2020，11，5：	1
	13	Patent statistics as indicators of competition an analysis of patenting in biotechnology 显示文摘	Banerjee P Gupta BM Garg KC	2000	SCIENTOMETRICS2000，47，1：	1

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