Artificial neural network based prediction of Large Scale Travelling Ionospheric Disturbances

Ferreira, Arthur Amaral and Borries, Claudia and Borges, Renato Alves (2022) Artificial neural network based prediction of Large Scale Travelling Ionospheric Disturbances. 1st Workshop on Data Science for GNSS Remote Sensing (D4G), 2022-06-13 - 2022-06-15, Potsdam, Deutschland.

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Item URL in elib:

https://elib.dlr.de/186992/

Document Type:

Conference or Workshop Item (Speech)

Title:

Artificial neural network based prediction of Large Scale Travelling Ionospheric Disturbances

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Ferreira, Arthur Amaral	Arthur.Ferreira (at) dlr.de	https://orcid.org/0000-0002-1083-6376	UNSPECIFIED
Borries, Claudia	claudia.borries (at) dlr.de	https://orcid.org/0000-0001-9948-3353	UNSPECIFIED
Borges, Renato Alves	raborges (at) ene.unb.br	https://orcid.org/0000-0002-6072-8621	UNSPECIFIED

Date:

June 2022

Refereed publication:

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

LSTIDs, Ionosphere, Artificial Neural Networks

Event Title:

1st Workshop on Data Science for GNSS Remote Sensing (D4G)

Event Location:

Potsdam, Deutschland

Event Type:

Workshop

Event Start Date:

13 June 2022

Event End Date:

15 June 2022

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

Communication, Navigation, Quantum Technology

DLR - Research area:

Raumfahrt

DLR - Program:

R KNQ - Communication, Navigation, Quantum Technology

DLR - Research theme (Project):

R - Ionosphere

Location:

Neustrelitz

Institutes and Institutions:

Institute for Solar-Terrestrial Physics > Solar-Terrestrial Coupling Processes

Deposited By:

Ferreira, Arthur Amaral

Deposited On:

28 Jun 2022 11:03

Last Modified:

31 Mar 2026 23:16

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