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4篇 您的检索式：作者名="Aashish Kumar"

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		题名	作者	年代	出处	被引量
	1	An optimized decision for opportunistic maintenance or event-driven maintenance of industrial system显示文摘	Aashish khaira Amit Kumar Jain	2012	International Journal of Scientific & Engineering Research2012，3，6：	1
	2	Acute kidney injury in late pregnancy in developing countries显示文摘	Jai Prakash Shashidhar Shree Niwas Aashish Parekh Laxmi Kant Pandey Loukrakpam Sharatchandra Puneet Arora Amit Kumar Mahapatra	2010	Renal Failure2010，，3：	1
	3	Planting the seeds of success: CT ‐guided gold seed fiducial marker placement to guide robotic radiosurgery显示文摘	Aashish Patel Bhavraj Khalsa Bryce Lord Kumar Sandrasegaran Chandana Lall	2012	Journal of Medical Imaging and Radiation Oncology2012，，2：	1
	4	Optimized Load Balancing Technique for Software Defined Network显示文摘Software-defined networking is one of the progressive and prominent innovations in Information and Communications Technology.It mitigates the issues that our conventional network was experiencing.However,traffic data generated by various applications is increasing day by day.In addition,as an organization’s digital transformation is accelerated,the amount of information to be processed inside the organization has increased explosively.It might be possible that a Software-Defined Network becomes a bottleneck and unavailable.Various models have been proposed in the literature to balance the load.However,most of the works consider only limited parameters and do not consider controller and transmission media loads.These loads also contribute to decreasing the performance of Software-Defined Networks.This work illustrates how a software-defined network can tackle the load at its software layer and give excellent results to distribute the load.We proposed a deep learning-dependent convolutional neural networkbased load balancing technique to handle a software-defined network load.The simulation results show that the proposed model requires fewer resources as compared to existing machine learning-based load balancing techniques.	Aashish Kumar Darpan Anand Sudan Jha Gyanendra Prasad Joshi Woong Cho	2022	Computers, Materials & Continua2022，，7：	0

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