DLL Seminars
This talk will cover undergraduate student contributions to SWx research—as done within the SWx TREC's DLL—as well as delving into the need for technical workforce development (including methods leveraged by the DLL for undergraduate professional development resources).
In recent years, machine learning (ML) techniques have become a promising and effective tool to predict ionospheric total electron content (TEC) and irregularities. This seminar presents an image-based convolutional long short-term memory (convLSTM) ML algorithm to predict global TEC and storm-time high-latitude rate of TEC index (ROTI) maps.
This seminar takes listeners through an overview of student solar flare prediction research done within the SWx TREC Deep Learning Laboratory (DLL). Attendees will also be informed on the DLL's hardware, and availability to those interested in leveraging that.
Space Weather Applications of Machine Intelligence (SWAMI) Seminar SeriesHosted by: Space Weather Technology, Research, and Engineering Center Presented by: Ryan McGranaghan, ASTRA, LLC, Louisville, ColoradoFriday 19 March 2021
Space Weather Applications of Machine Intelligence (SWAMI) Seminar SeriesHosted by: Space Weather Technology, Research, and Engineering Center Presented by: Enrico Camporeale, CIRES/NOAA, University of Colorado, BoulderThursday 03 December 2020
Space Weather Applications of Machine Intelligence (SWAMI) Seminar SeriesHosted by: Space Weather Technology, Research, and Engineering Center Presented by: Simon Wing, Applied Physics Laboratory, Johns Hopkins University, Laurel, MDThursday 8