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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), 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:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Ferreira, Arthur AmaralUNSPECIFIEDhttps://orcid.org/0000-0002-1083-6376UNSPECIFIED
Borries, ClaudiaUNSPECIFIEDhttps://orcid.org/0000-0001-9948-3353UNSPECIFIED
Borges, Renato AlvesUNSPECIFIEDhttps://orcid.org/0000-0002-6072-8621UNSPECIFIED
Date:June 2022
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
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
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:01 Aug 2022 09:58

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