IoBT-OS: Optimizing the Sensing-to-Decision Loop for the Internet of Battlefield Things-Reference-Cited by-同舟云学术

IoBT-OS: Optimizing the Sensing-to-Decision Loop for the Internet of Battlefield Things

Published:2022-07 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computer Communications and Networks (ICCCN)
language:
Short-container-title:

Author:

Liu Dongxin¹,Abdelzaher Tarek¹,Wang Tianshi¹,Hu Yigong¹,Li Jinyang¹,Liu Shengzhong¹,Caesar Matthew¹,Kalasapura Deepti¹,Bhattacharyya Joydeep²,Srour Nassy²,Kim Jae³,Wang Guijun³,Kimberly Greg³,Yao Shouchao⁴

Affiliation:

1. University of Illinois at Urbana Champaign,Department of Computer Science,Urbana,IL,USA,61801

2. Maggie Wigness DEVCOM Army Research Laboratory,Adelphi,MD,USA,20783

3. Denis Osipychev The Boeing Company,Seattle,WA,USA,98124

4. George Mason University,Department of Computer Science,Fairfax,VA,USA,22030

Funder

ARL Cooperative Agreement

NSF

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9868842/9868856/09868920.pdf?arnumber=9868920

Reference43 articles.

1. Semi-Supervised Contrastive Learning for Human Activity Recognition

2. Self-Contrastive Learning based Semi-Supervised Radio Modulation Classification

3. DeepIoT

4. A Review of the Roles of Digital Twin in CPS-based Production Systems

5. A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems

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