Research on Optimization of Neural Network Model Deployment for Edge Devices-Reference-Cited by-同舟云学术

Research on Optimization of Neural Network Model Deployment for Edge Devices

Published:2023-10-20 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Computer Engineering and Intelligent Control (ICCEIC)
language:
Short-container-title:

Author:

Yu Xiaoyong¹,Qin Liwen¹,Chen Xin¹,Wu Lifang¹,Zhang Biyun¹

Affiliation:

1. Electric Power Research Institute of Guangxi Power Grid Co., Ltd.,Nanning,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424971/10426625/10426742.pdf?arnumber=10426742

Reference14 articles.

1. Power Edge Intelligent Terminal Based on AI Chip: Structural Framework and Application Scenarios;Zhou;Electric Power Information and Communication Technology,2021

2. Multi-modal Data Fusion Mode for Power System and Its Key Technical Issues;Wang;Automation of Electric Power Systems,2022

3. Research on the Detection Method of the Approach Distance Between Substation Workersand the Live Equipment Based on Binocular Stereo Matching and Scene Element Recognition;Wang;Power System Technology,2023

4. Microservice Modeling and Computing Resource Configuration Method for Edge Computing Terminal in Electric Internet of Things;Cen

5. Dual-mode lightweight object detection network based on edge computing;Chang;Laser Journal,2023

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Edge devices friendly multi-human parsing with lightweight encoding and multi-scale self-attention based decoding;Multimedia Tools and Applications;2024-08-27

2. Optimizing Monocular Driving Assistance for Real-Time Processing on Jetson AGX Xavier;IEEE Access;2024