Ionospheric Total Electron Content Forecasting at a Low-Latitude Indian Location Using a Bi-Long Short-Term Memory Deep Learning Approach-Reference-Cited by-同舟云学术

Ionospheric Total Electron Content Forecasting at a Low-Latitude Indian Location Using a Bi-Long Short-Term Memory Deep Learning Approach

Published:2023-11 Issue:11 Volume:51 Page:3373-3383
ISSN:0093-3813
Container-title:IEEE Transactions on Plasma Science
language:
Short-container-title:IEEE Trans. Plasma Sci.

Author:

Vankadara Ram Kumar¹^ORCID,Mosses Mefe²^ORCID,Siddiqui Md Irfanul Haque³^ORCID,Ansari Kutubuddin⁴^ORCID,Panda Sampad Kumar¹^ORCID

Affiliation:

1. Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, KL Deemed to be University, Vaddeswaram, Andhra Pradesh, India

2. Department of Geomatics, Ahmadu Bello University, Zaria, Nigeria

3. Mechanical Engineering Department, College of Engineering, King Saud University, Riyadh, Saudi Arabia

4. School of Computer Science and Artificial Intelligence, SR University, Warangal, Telangana, India

Funder

Science and Engineering Research Board

Department of Science and Technology, Government of India, through the Core Research Grant (CRG) Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Condensed Matter Physics,Nuclear and High Energy Physics

Link

http://xplorestaging.ieee.org/ielx7/27/10345465/10304574.pdf?arnumber=10304574

Reference40 articles.

1. Two Hours Ahead Prediction of the TEC over China Using a Deep Learning Method

2. Ionospheric TEC Forecasting over an Indian Low Latitude Location Using Long Short-Term Memory (LSTM) Deep Learning Network

3. Ionospheric effects on GPS positioning

4. The ionosphere, radio navigation, and global navigation satellite systems

5. Neural network modeling of the ionospheric electron content at global scale using GPS data

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