Shelby Hall Graduate Research Forum Posters
Files
Download Full Poster (1.7 MB)
Description
In this paper, we proposed a deep learning framework named SML-Net to predict the values of a ten-minute SML-Index time frame, which is crucial for magnetic substorm on-set detection based on Seasonal Trend Decomposition components of the past sixty-minute time frames of the SML-Index.
Publication Date
3-2026
Department
Electrical & Computer Engineering
Disciplines
Electrical and Computer Engineering
Recommended Citation
Salama, Mohamed Abouhashem, "SML-Net: A Novel Deep Learning Network for the Prediction of the SML Index" (2026). Shelby Hall Graduate Research Forum Posters. 61.
https://jagworks.southalabama.edu/southalabama-shgrf-posters/61