Efficient Device-Edge Inference for Disaster Classification-Reference-Cited by-同舟云学术

Efficient Device-Edge Inference for Disaster Classification

Published:2022-07-05 Issue: Volume: Page:
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Container-title:2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN)
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Author:

Sze Yang Nathaniel Tan¹,Tham Mau-Luen¹,Chua Sing Yee¹,Loong Lee Ying¹,Owada Yasunori²,Poomrittigul Suvit³

Affiliation:

1. Universiti Tunku Abdul Rahman,Department of Electrical and Electronic Engineering,Kajang,Malaysia

2. National Institute of Information and Communications Technology (NICT),Resilient ICT Research Center,Tokyo,Japan

3. Pathumwan Institute of Technology,Software Engineering and Information System,Bangkok,Thailand

Publisher

IEEE

Link

Reference23 articles.

3. Efficient Deep Learning Inference on Edge Devices;jiang;Proceedings of ACM Conference on Systems and Machine Learning (SysML’18),2018

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2. EDGEmergency: A Cloud-Edge Platform to Enable Pervasive Computing for Disaster Management;Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies;2023-12-04