Solar system object detection in time series data using synthetically trained neural networks

Krüger, Nick; Völschow, Marcel

doi:10.1007/978-3-031-60023-4_10

Publisher DOI:	10.1007/978-3-031-60023-4_10
Title:	Solar system object detection in time series data using synthetically trained neural networks
Language:	English
Authors:	Krüger, Nick Völschow, Marcel
Editor:	Köhler-Bußmeier, Michael Renz, Wolfgang Sudeikat, Jan
Keywords:	Astronomy; Neural networks; Time series
Issue Date:	1-Jul-2024
Publisher:	Springer
Part of Series:	Intelligent Distributed Computing XVI : 16th International Symposium on Intelligent Distributed Computing, IDC 2023
Journal or Series Name:	Studies in computational intelligence
Volume:	1138
Startpage:	55
Endpage:	69
Conference:	International Symposium on Intelligent Distributed Computing 2023
URI:	https://hdl.handle.net/20.500.12738/17092
ISBN:	978-3-031-60023-4 978-3-031-60022-7
ISSN:	1860-9503
Review status:	This version was peer reviewed (peer review)
Institute:	Department Informations- und Elektrotechnik Fakultät Technik und Informatik
Type:	Chapter/Article (Proceedings)
Appears in Collections:	Publications without full text