Graph Neural Networks as an Enabler of Terahertz-Based Flow-Guided Nanoscale Localization Over Highly Erroneous Raw Data-Reference-Cited by-同舟云学术

Graph Neural Networks as an Enabler of Terahertz-Based Flow-Guided Nanoscale Localization Over Highly Erroneous Raw Data

Published:2024-08 Issue:8 Volume:42 Page:1992-2008
ISSN:0733-8716
Container-title:IEEE Journal on Selected Areas in Communications
language:
Short-container-title:IEEE J. Select. Areas Commun.

Author:

Calvo Bartra Gerard¹,Lemic Filip¹^ORCID,Pascual Guillem¹,Pérez Rodas Aina²,Struye Jakob³^ORCID,Delgado Carmen¹^ORCID,Costa Pérez Xavier¹

Affiliation:

1. i2Cat Foundation, Barcelona, Spain

2. N3Cat (NaNoNetworking Center in Catalunya), Polytechnic University of Catalonia, Barcelona, Spain

3. imec, University of Antwerp, Antwerp, Belgium

Funder

European Union’s Horizon Europe Programme

Joint Sensing and Communications for Future Interactive, Immersive, and Intelligent Connectivity Beyond Communications

Spanish Ministry of Economic Affairs with EU—NextGenerationEU under the Recovery Plan, Transformation and Resilience, Original [Plan de Recuperación, Transformación y Resiliencia (PRTR)]

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/49/10601497/10528284.pdf?arnumber=10528284

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