New Ways to Modelling and Predicting Ionosphere Variables

SM Radicella - Atmosphere, 2023 - mdpi.com
The new way of thinking science from Newtonian determinism to nonlinear unpredictability
and the dawn of advanced computer science and technology can be summarized in the …

High-solar Activity Ionospheric Modelling Using Machine Learning: A comparison Against Classical Models

S Priyadarshi, WP Syam, AAG Roqué… - Proceedings of the 36th …, 2023 - ion.org
Ionosphere is a chaotic medium for all kind of trans-ionospheric radio wave communication
and ranging. Global Navigation Satellite System (GNSS) signals are very vulnerable to the …

Transformer deep learning for accurate orbit corrections in real-time

WP Syam, S Priyadarshi, AAG Roqué… - Proceedings of the 36th …, 2023 - ion.org
Fixing receiver positions from Global Navigation Satellite System (GNSS) satellites requires
the accurate estimate of the orbit position of the satellites at the time the satellites transmit …

Brief discussions on uncertainty contributors of GNSS-based positioning (Part 3)

W Syam - wasyresearch.com
Brief discussions on uncertainty contributors of GNSS-based positioning (Part 3) Wahyudin
Syam Articles Topics Search About Contact Shop GNSS Brief discussions on uncertainty …