Investigating the Efficiency of Deep Learning Methods in Estimating GPS Geodetic Velocity-Reference-Cited by-同舟云学术

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Investigating the Efficiency of Deep Learning Methods in Estimating GPS Geodetic Velocity

Published:2022-09-26 Issue:10 Volume:9 Page:
ISSN:2333-5084
Container-title:Earth and Space Science
language:en
Short-container-title:Earth and Space Science

Author:

Sorkhabi Omid Memarian¹^ORCID,Milani Muhammed²,Seyed Alizadeh Seyed Mehdi³

Affiliation:

1. Department of Geomatics Engineering Faculty of Civil Engineering and Transportation University of Isfahan Isfahan Iran

2. Department of Computer Engineering Faculty of Engineering & Natural Sciences Bandırma Onyedi Eylül University Balikesir Turkey

3. Petroleum Engineering Department Australian College of Kuwait Kuwait City Kuwait

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Science (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021EA002202

Reference20 articles.

1. The impact of data normalization on 2D coordinate transformation using GRNN

2. Health indicator construction of machinery based on end-to-end trainable convolution recurrent neural networks

3. GPS and gravity constraints on continental deformation in the Alborz mountain range, Iran

4. Cascaded Recurrent Neural Networks for Hyperspectral Image Classification

5. Modeling and predicting seasonal ionospheric variations in Turkey using artificial neural network (ANN)

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1. Machine learning approach for GNSS geodetic velocity estimation;GPS Solutions;2024-01-25

2. Deep learning of sea-level variability and flood for coastal city resilience;City and Environment Interactions;2023-01

3. PCA-SOM OF GRACE-FO TOTAL WATER STORAGE FOR GLOBAL CLIMATE DECISIONS;Geodesy and cartography;2022-12-14

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