Cite
Forecasting the transit times of earth-directed halo CMEs using artificial neural network: A case study application with GCS forward-modeling technique
MLA
F.N. Minta, et al. “Forecasting the Transit Times of Earth-Directed Halo CMEs Using Artificial Neural Network: A Case Study Application with GCS Forward-Modeling Technique.” Journal of Atmospheric and Solar-Terrestrial Physics, vol. 247, June 2023, p. 106080. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi...........98a13ee6a1c247a68b7e78e56ded9705&authtype=sso&custid=ns315887.
APA
F.N. Minta, S. Nozawa, K. Kozarev, A. Elsaid, & A. Mahrous. (2023). Forecasting the transit times of earth-directed halo CMEs using artificial neural network: A case study application with GCS forward-modeling technique. Journal of Atmospheric and Solar-Terrestrial Physics, 247, 106080.
Chicago
F.N. Minta, S. Nozawa, K. Kozarev, A. Elsaid, and A. Mahrous. 2023. “Forecasting the Transit Times of Earth-Directed Halo CMEs Using Artificial Neural Network: A Case Study Application with GCS Forward-Modeling Technique.” Journal of Atmospheric and Solar-Terrestrial Physics 247 (June): 106080. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi...........98a13ee6a1c247a68b7e78e56ded9705&authtype=sso&custid=ns315887.