Sentence examples for improve deployment efficiency from inspiring English sources
In this paper, we present a Service Deployment Management System for Optimization (SDMS-O) designed with a novel optimization approach for service deployment to improve deployment efficiency and reduce deployment cost while guaranteeing the users' QoS requirements.
Pooya Davoodi, a senior software engineer at NVIDIA and Guangda Lai, a senior software engineer at Google will explain with examples how to improve deployment efficiency of AI models with the integration of TensorRT and TensorFlow.
In this paper a concept of hybrid intelligent hinge is proposed to improve the deployment efficiency of the intelligent hinge.
By keeping a ship abroad for a couple of years and having two crews share that vessel as well as a training ship at home, the Navy could improve its deployment efficiency by up to 40 percent per ship, accomplishing with about three and a half ships what, on average, might have required five.
Additionally, the health system needs further improvement in efficiency and equity, to allow adequate implementation of public health interventions, including improved deployment of health workers in rural areas.
The results of this study can be used to minimize negative interference or optimise positive interference aiming at improving geothermal doublet deployment efficiency.
To reduce system construction cost and improve communication efficiency, the deployment of roadside infrastructures should also be well studied.
By effectively utilizing the small coverage feature of FBS, an optimal FBS deployment can improve the efficiency of frequency reuse to enhance the network capacity.
Energy recovery is a process strategy seeking to improve process efficiency through the capture, recycle and deployment of normally neglected low energy content sources or streams.
The aim of the targets set is to cut emissions, improve energy efficiency and to invest in the deployment of renewable energy sources.
Accordingly, techniques that enable efficient processing of DNNs to improve energy efficiency and throughput without sacrificing application accuracy or increasing hardware cost are critical to the wide deployment of DNNs in AI systems.
