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18篇 您的检索式：作者名="Kaliannan"

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		题名	作者	年代	出处	被引量
	1	Whole-brain proton MR speetroseopie imaging of mild-to-moderate traumatic brain injury and correlation with neuropsyehological deficits 显示文摘	Govind V Gold S Kaliannan K	2010	J Neurotrauma2010，27，3：	1
	2	Intestinal alkaline phosphatase prevents metabolic syndrome in mice显示文摘	Kaliannan K Hamarneh SR Economopoulos KP	2013	Proc Natl Acad Sci2013，110，17：	1
	3	Knowledge man- agement systems in support of disasters management: a two decade review 显示文摘	DORASAMY M RAMAN M KALIANNAN M	2013	Technological forecasting & social change2013，80，9：	1
	4	Spray pyrolytic deposition and characterization of SnS and SnS2 thin films显示文摘	Kaliannan P	2000	Phys D:Appl Phys2000，33，：	1
	5	Gallbladder splenosis: a here- to unreported mimicker of a gallbladder neoplasm 显示文摘	Tsai LL Kaliannan K Mortele KJ	2015	Clin Imag- ing2015，39，2：	1
	6	Intestinal al- kaline phosphatase prevents metabolic syndrome in mice 显示文摘	Kaliannan K Hamarneh SR Economopoulos KP	2013	Proc Natl Acad Sci U S A2013，110，17：	1
	7	Spray pyrolytic deposition and characterization of SnS and SnS2 thin films 显示文摘	THANGARAJU B KALIANNAN P	2000	Phys: D2000，33，9：	1
	8	Model development on disposal of munici- pal solid waste through experimental studies 显示文摘	Kaliannan Saravanan	2009	Modem Applied Sci-ence2009，3，4：	1
	9	Intestinal Alkaline Phosphatase Prevents Antibiotic-Induced Susceptibility to Enteric Pathogens显示文摘	Sayeda Nasrin Alam Halim Yammine Omeed Moaven Rizwan Ahmed Angela K. Moss Brishti Biswas Nur Muhammad Rakesh Biswas Atri Raychowdhury Kanakaraju Kaliannan Sathi Ghosh Madhury Ray Sulaiman R. Hamarneh Soumik Barua Nondita S. Malo Atul K. Bhan Madhu S. Malo	2014	Annals of Surgery2014，，4：	1
	10	Intestinal alkaline phosphatase prevents metabolic syn- drome in mice显示文摘	KALIANNAN K HAMARNEH SR ECONOMOPOULOS KP	2013	Proc Natl Acad Sci U S A2013，110，17：	1
	11	Whole-brain proton MR spectroscopic imaging of mild-to-moderate traumatic brain injury and correlation with neuropsychological defi-cits显示文摘	Govind V Gold S Kaliannan K	2010	J Neurotrauma2010，27，3：	1
	12	Whole-brain proton MR spectroscopic imaging of mild-to-moderate traumatic brain injury and correlation with neuropsychological deficits显示文摘	Govind V Gold S Kaliannan K	2010	J Neurotrauma2010，27，3：	1
	13	Spray pyrolytic deposition and characterization of SnS and SnS2 thin films显示文摘	Kaliannan P	2000	Phys D:Appl Phys2000，33，：	1
	14	Whole-brain proton MR spectroscopic imaging of mild-to-moderate traumatic brain injury and correlation with neuropsychological de- ficits 显示文摘	Govind V Gold S Kaliannan K et cd	2010	J Neurotrauma2010，27，3：	1
	15	Whole-brain proton MR spectroscopic imaging of mild-to-moderate traumatic brain injury and correlation with neuropsychological deficits 显示文摘	Govind V Gold S Kaliannan K	2010	Neurotrau- ma2010，27，3：	1
	16	Whole-brain proton MR spectroscopic imaging of mild-to-moderate traumatic brain injury and correlation with neuropsychological deficits显示文摘	Govind V Gold S Kaliannan K	2010	J Neurotrauma2010，27，3：	1
	17	Solvent accessibility studies on polysaccharides显示文摘	Kaliannan P Michael M Elanhiraiyan M	2001	International Journal of Biological Macromolecules2001，28，：	1
	18	SVM Algorithm for Vibration Fault Diagnosis in Centrifugal Pump显示文摘Vibration failure in the pumping system is a signiﬁcant issue for indus-tries that rely on the pump as a critical device which requires regular maintenance.To save energy and money,a new automated system must be developed that can detect anomalies at an early stage.This paper presents a case study of a machine learning(ML)-based computational technique for automatic fault detection in a cascade pumping system based on variable frequency drive(VFD).Since the intensity of the vibrational effect depends on which axis has the most signiﬁcant effect,a three-axis accelerometer is used to measure it in the pumping system.The emphasis is on determining the vibration effect on different axes.For experiment,various ML algorithms are investigated on collected vibratory data through Matlab software in x,y,z axes and performances of the algorithms are compared based on accuracy rate,prediction speed and training time.Based on the proposed research results,the multiclass support vector machine(MSVM)is found to be the best suitable algorithm compared to other algorithms.It has been demonstrated that ML algorithms can detect faults automatically rather than conventional meth-ods.MSVM is used for the proposed work because it is less complex and pro-duces better results with a limited data set.	Nabanita Dutta Palanisamy Kaliannan Paramasivam Shanmugam	2023	Intelligent Automation & Soft Computing2023，，3：	0

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