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SUMMARY:Webinar - EOP Innovations & Insights | GGOS AI4EOP
DESCRIPTION:We are pleased to invite you to the upcoming “EOP I&I” Scientific Meeting organized by the AI4EOP Prediction Study Group at GGOS. This event aims to gather researchers and scientists to share their latest achievements and results related to Earth Orientation Parameters (EOP) prediction. For our inaugural meeting\, we will focus on the application of machine learning techniques in EOP prediction\, exploring the current understanding and developments in this exciting field. \nWe are excited to highlight our esteemed speaker\, Junyang Gou\, from the Institute of Geodesy and Photogrammetry\, ETH Zurich\, Switzerland\, who will present on “Recurrent neural networks and their applications for EOP prediction.” His insights and research will undoubtedly provide valuable contributions to our understanding of EOP prediction through advanced machine learning techniques. \nMeeting Details:\nDate: 06.06.2024 \nTime: 15:00 CET \nLocation: Webex [ https://bkg-bund.webex.com/bkg-bund-en/j.php?MTID=m1a6ea35908676338d51f231e9b34f67f ] \nOrganizers: AI4EOP at GGOS \nAgenda:\nWelcome & Introductions\nChairs of the AI4EOP Prediction Study Group \nInvited Speaker\nSpeaker: Junyang Gou\, Institute of Geodesy and Photogrammetry\, ETH Zurich\, Switzerland \nTopic: Recurrent neural networks and their applications for EOP prediction \nQuestion & Discussion \nOpen forum for discussion on the presented topic \nCollaboration & Research Discussion\nFocus: Exploring collaboration opportunities with the IERS EOP Prediction Combination Centre (PCC) Working Group \nAdditional Topics: \nIdentifying potential research areas for the AI4EOP prediction study group \nOpen discussion for member-proposed topics \nClosing Remarks
URL:https://geodesy.science/event/webinar-ai4eop/
LOCATION:virtual
CATEGORIES:GGOS
ATTACH;FMTTYPE=image/png:https://geodesy.science/wp-content/uploads/EOP-II-Scientific_1.png
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