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10篇 您的检索式：作者名="Zahedmanesh"

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		题名	作者	年代	出处	被引量
	1	A multi-scale mechanobiological model of in-stent restenosis: deciphering the role of matrix metalloproteinase and extracellular matrix changes显示文摘	Houman Zahedmanesh Hans Van Oosterwyck Caitríona Lally	2014	Computer Methods in Biomechanics and Biomedical Engineering2014，，8：	1
	2	Determination of the influence of stent strut thickness using the finite element method: Implications for vascular injury and in-stent restenosis 显示文摘	ZAHEDMANESH H LALLY C	2009	Med Biol Eng Comput2009，47，：	1
	3	Simulation of aballoon expandable stent in a realistic coronaryartery-Determination of the optimum modeling strategy显示文摘	Zahedmanesh H Kelly D Lally C	2010	Journal of Biomechanics2010，43，：	1
	4	Determination of the influence of stent strut thickness using the finite element method: Impli?cations for vascular injury and in-stent restenosis显示文摘	Zahedmanesh H Lally C	2009	Med Bioi Eng Comput2009，47，4：	1
	5	Determination of the influence of stent strut thickness using the finite element method: Implications for vascular injury and in-stent restenosis 显示文摘	Zahedmanesh H Lally C	2009	Med Biol Eng Comput2009，47，4：	1
	6	Simulation of a balloon expandable stent in a realistic coronary artery-determination of the optimum modelling strategy显示文摘	ZAHEDMANESH H JOHN K D LALLY C	2010	Journal of Biomechanics2010，43，11：	1
	7	The effects of swimming combined training on body composition in academic level athletes women 显示文摘	Zahedmanesh F Zafari A Zahedmanesh F	2013	European Journal of Experimental Biology2013，3，1：	1
	8	Simulation of a balloon expandable stent in a realistic coronary artery - Determination of the optimum modeling strategy 显示文摘	Zahedmanesh H Kelly D J Lally C	2010	Journal of Biomechanics2010，43，：	1
	9	Bacterial cellulose as a potential vascular graft: Mechanical characterization and constitutive model development显示文摘	Zahedmanesh H Mackle J N Sellbom A	2011	J Biomed Mater Res B Appl Biomater2011，97，1：	1
	10	Recurring Multi-layer Moving Window Approach to Forecast Day-ahead and Week-ahead Load Demand Considering Weather Conditions显示文摘The incorporation of weather variables is crucial in developing an effective demand forecasting model because electricity demand is strongly influenced by weather conditions.The dependence of demand on weather conditions may change with time during a day.Therefore,the time stamped weather information is essential.In this paper,a multi-layer moving window approach is proposed to incorporate the significant weather variables,which are selected using Pearson and Spearman correlation techniques.The multi-layer moving window approach allows the layers to adjust their size to accommodate the weather variables based on their significance,which creates more flexibility and adaptability thereby improving the overall performance of the proposed approach.Furthermore,a recursive model is developed to forecast the demand in multi-step ahead.An electricity demand data for the state of New South Wales,Australia are acquired from the Australian Energy Market Operator and the associated results are reported in the paper.The results show that the proposed approach with dynamic incorporation of weather variables is promising for day-ahead and week-ahead load demand forecasting.	Dao H.Vu Kashem M.Muttaqi Ashish P.Agalgaonkar Arian Zahedmanesh Abdesselam Bouzerdoum	2022	Journal of Modern Power Systems and Clean Energy2022，10，6：	0

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