Adapting Wireless Network Configuration From Simulation to Reality via Deep Learning-Based Domain Adaptation-Reference-Cited by-同舟云学术

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Adapting Wireless Network Configuration From Simulation to Reality via Deep Learning-Based Domain Adaptation

Published:2023 Issue: Volume: Page:1-16
ISSN:1063-6692
Container-title:IEEE/ACM Transactions on Networking
language:
Short-container-title:IEEE/ACM Trans. Networking

Author:

Shi Junyang¹^ORCID,Ma Aitian²,Cheng Xia²^ORCID,Sha Mo²^ORCID,Peng Xi³^ORCID

Affiliation:

1. Department of Computer Science, State University of New York at Binghamton, Binghamton, NY, USA

2. Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, FL, USA

3. Department of Computer and Information Sciences, University of Delaware, Newark, DE, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/90/4359146/10328686.pdf?arnumber=10328686

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1. Enabling Reliable Environmental Sensing with LoRa, Energy Harvesting, and Domain Adaptation;2024 33rd International Conference on Computer Communications and Networks (ICCCN);2024-07-29

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