The first one, entitled “Automatic detection of e-Callisto solar radio bursts by Deep Neural Networks” will be presented in the session “Time-domain astronomy – observations and instrumentation” of the 3rd URSI Atlantic-Asia-Pacific Radio Science Meeting (AT-AP-RASC, Gran Canaria, Spain, 29 May – 3 June 2022).
The second, entitled “Towards an automated e-Callisto radio burst identification and event reporting system for the space weather community” will be presented at the session “Monitoring and Forecasting of Space Weather Conditions” of the 44th COSPAR Scientific Assembly (Athens, Greece, 16-24 July 2022).
URSI = Union Radio-Scientifique Internationale
COSPAR = COmmittee on SPAce Research
Authors: Mario Fernández Ruiz (1), Manuel Prieto Mateo (1), Christian Monstein (2), Javier Bussons Gordo (3)
(1) Universidad de Alcalá (Spain); (2) Istituto Ricerche Solari (IRSOL), Università della Svizzera Italiana (USI) (Switzerland); (3) Universidad de Murcia (Spain)
ABSys collaborates by providing the CELESTINA Castillian E-Callisto Leading Experimentation in Solar-Terrestrial Interaction with Novel Antennas (https://celestina.web.uah.es) team with NVIDIA processors and with advice on the use of Convolutional Neural Networks and the DIGITS architecture.
