New Findings Reported from National Institute of Geophysics and Volcanology Desc ribe Advances in Machine Learning (On Estimating the Phase Scintillation Index U sing Tec Provided By Ism and Igs Professional Gnss Receivers and Machine Learnin g)
New Findings Reported from National Institute of Geophysics and Volcanology Desc ribe Advances in Machine Learning (On Estimating the Phase Scintillation Index U sing Tec Provided By Ism and Igs Professional Gnss Receivers and Machine Learnin g)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news reporting originating in Rome, Italy, by NewsRx journalists, research stated, "Amplitude and phase scintillation inde xes (S4 and sigma(phi)) provided by Ionospheric Scintillation Monitoring (ISM) r eceivers are the most used GNSS-based indicators of the signal fluctuations indu ced by the presence of ionospheric irregularities. These indexes are available o nly from ISM receivers which are not as abundant as other types of professional GNSS receivers, resulting in limited geographic distribution." Financial support for this research came from Swarm Space Weather Variability of Ionospheric Plasma (Swarm VIP) project - European Space Agency.
Key words
Rome/Italy/Europe/Cyborgs/Emerging T echnologies/Machine Learning/National Institute of Geophysics and Volcanology
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