A Systematic Review of Machine Learning Techniques for GNSS Use Cases-Reference-Cited by-同舟云学术

A Systematic Review of Machine Learning Techniques for GNSS Use Cases

Published:2022-12 Issue:6 Volume:58 Page:5043-5077
ISSN:0018-9251
Container-title:IEEE Transactions on Aerospace and Electronic Systems
language:
Short-container-title:IEEE Trans. Aerosp. Electron. Syst.

Author:

Siemuri Akpojoto¹^ORCID,Selvan Kannan¹^ORCID,Kuusniemi Heidi¹^ORCID,Valisuo Petri¹^ORCID,Elmusrati Mohammed S.¹^ORCID

Affiliation:

1. School of Technology and Innovations, University of Vaasa, Vaasa, Finland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Aerospace Engineering

Link

http://xplorestaging.ieee.org/ielx7/7/9970423/09937069.pdf?arnumber=9937069

Reference245 articles.

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4. Regional TEC model using improved neural network and its application in single frequency precise point positioning;xu;Proc 21st Int Tech Meeting Satell Div Inst Navigation,0

5. Clock bias prediction algorithm for navigation satellites based on a supervised learning long short-term memory neural network

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