The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


Conveners will be contacted by the AGU25 Program Committee with any requests for mergers or edits to proposals. Conveners will be notified of the acceptance of their proposal in mid-June.


Abstract submissions will also open in mid-June and the deadline for abstract submissions is 30 July, 2025.


Please visit the AGU25 website for more information or please contact AGU with any questions.

Abstract: A Self-Trained Deep-Learning Methodology for Automated Solar Filament Detection and Dataset Generation (AGU25)

A Self-Trained Deep-Learning Methodology for Automated Solar Filament Detection and Dataset Generation

Ryan Goldberg, CUNY City College of New York, Department of Electrical Engineering, New York, United States, Donald Schmit, CU/CIRES-NOAA/NCEI, Boulder, United States, Fred Moshary, NOAA EPP/MSI Cooperative Science Center for Earth System Sciences and Remote Sensing Technologies (CESSRST-II), New York, United States and Yingli Tian, Department of Electrical Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Electrical Engineering, New York, United States
<< Previous Abstract | Next Abstract >>