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11篇 您的检索式：作者名="ALVIN MD"

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		题名	作者	年代	出处	被引量
	1	Familial solitary fibrous tusmor of the pleura: a case report显示文摘	Alvin S Teirstein MD	2005	Cbest2005，127，：	1
	2	Cost-utility analysis of instrumented fusion versus decompression alone for grade I L4 -5 spondylolisthesis at 1 -year follow-up : a pilot study 显示文摘	Alvin MD Lubelski D Abdullah KG	2014	JSpinal Disord Tech2014，15，4：	1
	3	Evaluation of Intraoperative Autotransfusion Filtration for Hepatectomy and Pancreatectomy显示文摘	Robert C. G. Martin MD Samuel R. Wellhausen PhD Dave A. Moehle BS Alvin W. Martin MD Kelly M. McMasters MD PhD	2005	Annals of Surgical Oncology2005，，12：	1
	4	Pulmonary nodules: preliminary experience with three-dimen- sional evaluation 显示文摘	Marie-Pierre Revel MD Catherine Lefort MD Alvine Bissery MSc	2004	Radiology2004，231，：	1
	5	The Mobi-C cervical disc for one-level and two-level cervical disc replacement: a review of the literature显示文摘	Alvin MD Mroz TE	2014	Med Devices (Auckl)2014，7，26：	1
	6	Sutureless Securement Device Reduces Complications of Peripherally Inserted Central Venous Catheters 显示文摘	Alvin J Yamamoto MD Jeffrey A	2002	Journal of Vascular and Interventional Radi- ology2002，13，1：	1
	7	Cervical ar- throplasty: a critical review of the literature显示文摘	ALVIN MD ABBOTT EE LUBELSKI D	2014	Spine J2014，14，9：	1
	8	Translami-nar Screw fixation in the subaxial cervical spine:Quantita-tive laminar analysis and feasibility of unilateral and bilat-eral translaminar virtual screw placement显示文摘	Alvin MD Abdullah KG Steinmetz MP		0，，1976：	1
	9	C5 palsy after posterior cervical decompression and fusion: cost and quality-of-life implications 显示文摘	Miller JA Lubelski D Alvin MD et aI	2014	Spine J2014，14，12：	1
	10	Cervical arthro- plasty: A critical review of the literature 显示文摘	Alvin MD Abbott EE Lubelski D	2014	Spine J2014，14，9：	1
	11	Deep Reinforcement Learning for Addressing Disruptions in Traffic Light Control显示文摘This paper investigates the use of multi-agent deep Q-network(MADQN)to address the curse of dimensionality issue occurred in the traditional multi-agent reinforcement learning(MARL)approach.The proposed MADQN is applied to traffic light controllers at multiple intersections with busy traffic and traffic disruptions,particularly rainfall.MADQN is based on deep Q-network(DQN),which is an integration of the traditional reinforcement learning(RL)and the newly emerging deep learning(DL)approaches.MADQN enables traffic light controllers to learn,exchange knowledge with neighboring agents,and select optimal joint actions in a collaborative manner.A case study based on a real traffic network is conducted as part of a sustainable urban city project in the Sunway City of Kuala Lumpur in Malaysia.Investigation is also performed using a grid traffic network(GTN)to understand that the proposed scheme is effective in a traditional traffic network.Our proposed scheme is evaluated using two simulation tools,namely Matlab and Simulation of Urban Mobility(SUMO).Our proposed scheme has shown that the cumulative delay of vehicles can be reduced by up to 30%in the simulations.	Faizan Rasheed Kok-Lim Alvin Yau Rafidah Md Noor Yung-Wey Chong	2022	Computers, Materials & Continua2022，，5：	0

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