Unified Approach to Video-Based AI Inference Tasks in Augmented Reality Systems Assisted by Mobile Edge Computing-Reference-Cited by-同舟云学术

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Unified Approach to Video-Based AI Inference Tasks in Augmented Reality Systems Assisted by Mobile Edge Computing

Published:2023-09-21 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
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Author:

Sousa Alexandre Ladeira de¹,OKey Ogobuchi Daniel²,Rosa Renata Lopes¹,Saadi Muhammad³,Rodriguez Demostenes Zegarra⁴

Affiliation:

1. Federal University of Lavras,Department of Computer Science,Lavras,Minas Gerais,Brazil

2. Federal University of ABC,Graduate Program in Information Engineering,Santo Andre, Sao Paulo,Brazil

3. University of Central Punjab,Department of Electrical Enginnering,Punjab,Pakistan

4. Federal University of Lavras,Computer Science Department,Lavras,Minas Gerais,Brazil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10271384/10271386/10271689.pdf?arnumber=10271689

Reference16 articles.

1. Multi-objective resource allocation for Edge Cloud based robotic workflow in smart factory

2. Joint DNN Partition Deployment and Resource Allocation for Delay-Sensitive Deep Learning Inference in IoT

3. Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing

4. Mandheling

5. Wireless Communication with Artificial Intelligence

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