Results 31 to 40 of about 1,149,119 (338)
Ionospheric observations with five minute intervals between ionograms were made during a campaign from 19th to 23rd June 1996 at the Rome station (41.8N, 12.5E).
C. Scotto +4 more
doaj +1 more source
Total Electron Content PCA-NN Prediction Model for South-European Middle Latitudes
A regression-based model was previously developed to forecast total electron content (TEC) at middle latitudes. We present a more sophisticated model using neural networks (NN) instead of linear regression.
Anna Morozova +3 more
doaj +1 more source
Matter content in AGN jets: constraint from cocoon dynamics? [PDF]
The matter content of jets in active galactic nuclei is examined in a new way. We model the dynamical expansion of its cocoon embedded in the intra-cluster medium (ICM).
Kawakatu, N., Kino, M.
core +3 more sources
Spatiotemporal Prediction of Ionospheric Total Electron Content Based on ED-ConvLSTM
Total electron content (TEC) is a vital parameter for describing the state of the ionosphere, and precise prediction of TEC is of great significance for improving the accuracy of the Global Navigation Satellite System (GNSS).
Liangchao Li +8 more
doaj +1 more source
Deteksi Anomali Total Electron Content Sebelum Gempa Bumi Palu Menggunakan Jaringan Syaraf Tiruan Levenberg-marquardt [PDF]
Indonesia termasuk kedalam negara dengan aktifitas gempa bumi yang tinggi. Analisis gempa bumi yang pernah terjadi sangat membantu dalam memahami karakteristik gempa bumi di Indonesia.
Nurdin, A. (Arliyanti) +3 more
core
Geometric total electron content models for topside ionospheric sounding [PDF]
The ionosphere is commonly divided into the portion below (bottomside) and above (topside) the region at which peak values of electron density occur. Topside ionospheric modeling is a challenging problem because of the limited data available. Indeed, the
Tancredi, Urbano
core +1 more source
The main effects of the 10 June 2021 annular solar eclipse on GNSS position estimation accuracy are presented. The analysis is based on TEC measurements made by 2337 GNSS stations around the world.
Juan Carlos Valdés-Abreu +4 more
doaj +1 more source
Storm-Time Relative Total Electron Content Modelling Using Machine Learning Techniques
Accurately predicting total electron content (TEC) during geomagnetic storms is still a challenging task for ionospheric models. In this work, a neural-network (NN)-based model is proposed which predicts relative TEC with respect to the preceding 27-day ...
Marjolijn Adolfs +2 more
doaj +1 more source
Geometric quality term for station-based total electron content estimation
Global ionospheric maps (GIMs) are still commonly used to represent total electron content (TEC). However, a large number of permanent GPS receivers provide significant data for monitoring ionosphere.
Murat Selim Çepni, Erman Şentürk
doaj +1 more source
IONORING: Real-Time Monitoring of the Total Electron Content over Italy
IONORING (IONOspheric RING) is a tool capable to provide the real-time monitoring and modeling of the ionospheric Total Electron Content (TEC) over Italy, in the latitudinal and longitudinal ranges of 35°N–48°N and 5°E–20°E, respectively.
Claudio Cesaroni +2 more
doaj +1 more source

