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Integration of Artificial Neural Network and the Optimal GNSS Satellites’ Configuration for Improving GNSS Positioning Techniques (A Case Study in Egypt) Cover

Integration of Artificial Neural Network and the Optimal GNSS Satellites’ Configuration for Improving GNSS Positioning Techniques (A Case Study in Egypt)

Artificial Satellites
Volume 57 (2022): Issue 1 (March 2022)
By: Mustafa K. Alemam,  Bin Yong and  Abubakar S. Mohammed  
Open Access
|Apr 2022

Authors

Mustafa K. Alemam

mustafaalemam2014@gmail.com

School of Earth Sciences and Engineering, Hohai University, Nanjin, China
Faculty of Engineering, Assiut University, Assiut, Egypt

Bin Yong

School of Earth Sciences and Engineering, Hohai University, Nanjin, China
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China

Abubakar S. Mohammed

Faculty of Construction and Environment, Polytechnic University, Hong Kong
DOI: https://doi.org/10.2478/arsa-2022-0002 | Journal eISSN: 2083-6104 | Journal ISSN: 1509-3859
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Language: English
Page range: 18 - 46
Submitted on: Jul 7, 2021
Accepted on: Feb 2, 2022
Published on: Apr 22, 2022
Published by: Polish Academy of Sciences, Space Research Centre
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
GNSS,
artificial neural network,
satellites’ configuration,
IGS,
single-frequency observations
Related subjects:
Geosciences,
Geosciences, other

© 2022 Mustafa K. Alemam, Bin Yong, Abubakar S. Mohammed, published by Polish Academy of Sciences, Space Research Centre
This work is licensed under the Creative Commons Attribution 4.0 License.

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