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11篇 您的检索式：作者名="Neil Eldin"

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		题名	作者	年代	出处	被引量
	1	Concurrent engineering: a schedule reduction tool显示文摘	Neil N Eldin	1997	Journal of Construction Engineering and Management1997，123，3：	1
	2	A promising planning tool: Quality function deployment显示文摘	Neil Eldin	2002	Cost Engineer2002，44，：	1
	3	Rubber tire particles as concrete aggregate 显示文摘	Neil N Eldin A Hmed B Senouci	1993	Journal of Materials in Civil Engineering1993，，4：	1
	4	Rubber-tired particles as concrete aggregate显示文摘	Eldin Neil N Senouci A B	1993	Journal of Materials in Civil Engineering1993，5，4：	1
	5	Rubber tire particles as concrete aggregate显示文摘	NEIL N ELDIN AHMED BSENOUCI	1993	Journal of Materials in Civil Engineering1993，5，4：	1
	6	A promising Planning tool: Quality function deployment显示文摘	Neil Eldin	2001	Cost Engineer2001，，：	1
	7	Rubber tire particles as concrete aggregate显示文摘	Neil N Eldin Ahmed Bsenoucl	1993	Journal of Materirals in Civil Engineering1993，5，4：	1
	8	Rubber-tired particles as concrete aggregate显示文摘	Eldin Neil N Senouci A B	1993	Journal of Materials in Civil Engineering1993，5，4：	1
	9	Measurement of Work Progress: Quantitative Technique 显示文摘	Neil N Eldin	1989	Journal of Construction Engineering and Management (S0733-9364)1989，115，3：	1
	10	Rubber-tire particles as concrete aggregate显示文摘	ELDIN NEIL N SENOUCI AHMED B	1993	Journal of Materials in Civil Engineering1993，5，4：	1
	11	A Model for Predicting Construction Worker Fatigue显示文摘Fatigue impairs workers’judgment,reduces their productivity,and jeopardizes their safety.The paper presents a tool to predict workers’fatigue based on their vital signs.An experimental study was conducted in which the heart rate and sleep quality for three individuals were monitored using fitness trackers(wearable sensors).The data collected were used to develop two models based on regression analysis and Artificial Neural Networks(ANN),to predict their fatigue level.A Borg’s scale was used to estimate the Rating of Perceived Exertion(RPE)of the participants.The two models were able to satisfactorily predict the RPE(workers fatigue level)with an average validity of 75%and 80%for the regression ANN models,respectively.The developed models can provide project managers and superintendents with early warning to avoid potential worker overexertion,injuries,and fatalities.	Ahmed Senouci Surya Anuradha Garimella Kyungki Kim Neil Eldin	2022	Journal of Smart Buildings and Construction Technology2022，4，2：	0

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