ManageChatDiscover
424925

GNSS Geodetic Velocity Prediction Using Deep Neural Network: A Case Study of Cairo Area, Egypt

Article

Last updated: 04 May 2025

OverviewSimilar Items

Subjects

-

Tags

Computer sciences

Abstract

Abstract: Estimating and studying global navigation satellite system (GNSS) velocities play an essential role in understanding the deformation and motion of the crust. Thus, in this research, we employ a deep neural network (DNN) to estimate horizontal velocities at certain places using GNSS data. Data on crustal deformation are obtained by using Global Positioning System (GPS) techniques. The exact locations of the three stations were obtained by recording, analyzing, and adjusting permanent GPS measurements. Moreover, 70% of the GNSS velocities from stations in the Cairo region and International GNSS Service (IGS) stations were used in the analysis to train the proposed DNN model, with the remaining 30% set aside for testing. The horizontal velocity components (east and north) were estimated using the DNN model. The highest differences between the velocities obtained by the DNN model and the reference velocities were 0.0004 mm. These findings highlight the ability of the DNN model to provide precise GNSS velocity estimates for geodetic applications.

DOI

10.21608/sjsci.2025.365767.1261

Keywords

GPS, DNN, Cairo

Authors

First Name

Alshimaa

Last Name

Abo Gharbia

MiddleName

Y

Affiliation

Dept. of Geodynamics, National Research Institute of Astronomy and Geophysics (NRIAG), Helwan, Egypt.

Email

alshimaayousri@nriag.sci.eg

City

-

Orcid

0009-0006-3724-5636

First Name

Moatamad

Last Name

Hassan

MiddleName

R.

Affiliation

Department of Computer Science and Mathematics, Faculty of Science, Aswan University

Email

mr.hassan@sci.aswu.edu.eg

City

أسوان

Orcid

-

First Name

Mohamed

Last Name

Saleh

MiddleName

-

Affiliation

Dept. of Geodynamics, National Research Institute of Astronomy and Geophysics (NRIAG), Helwan, Egypt.

Email

mohamedsaleh@nriag.sci.eg

City

Helwan

Orcid

-

First Name

Ahmed

Last Name

Gomaa

MiddleName

-

Affiliation

Dept. of Geodynamics, National Research Institute of Astronomy and Geophysics (NRIAG), Helwan, Egypt.

Email

ahmed.gomaa@ejust.edu.eg

City

-

Orcid

-

First Name

Ashraf

Last Name

Mousa

MiddleName

Elkutb

Affiliation

Dept. of Geodynamics, National Research Institute of Astronomy and Geophysics (NRIAG), Helwan, Egypt.

Email

ashrafmousa07@nriag.sci.eg

City

-

Orcid

-

First Name

Ibrahim

Last Name

Abbas

MiddleName

Atiatallah

Affiliation

Department of Mathematics, Faculty of Science, Sohag University, Sohag 82511, Egypt.

Email

ibrabbas7@science.sohag.edu.eg

City

Sohag

Orcid

0000-0001-9595-439X

Volume

10

Article Issue

2

Related Issue

54644

Issue Date

2025-06-01

Receive Date

2025-03-08

Publish Date

2025-06-01

Page Start

229

Page End

239

Print ISSN

2357-0938

Online ISSN

2974-4296

Article File

SJSCI_Volume 10_Issue 2_Pages 229-239.pdf

PDF . 3.5MB

Link

https://sjsci.journals.ekb.eg/article_424925.html

Detail API

http://journals.ekb.eg?_action=service&article_code=424925

Order

424,925

Type

Regular Articles

Type Code

2,359

Publication Type

Journal

Publication Title

Sohag Journal of Sciences

Publication Link

https://sjsci.journals.ekb.eg/

MainTitle

GNSS Geodetic Velocity Prediction Using Deep Neural Network: A Case Study of Cairo Area, Egypt

Details

Type

Article

Created At

04 May 2025