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1
An Improved Machine Learning Method to Speed up the Traject..:
, In:
Lecture Notes in Electrical Engineering; 2023 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2023) Proceedings
,
Xi, Yuting
;
Ma, Ji
;
Wang, Zhengyi
... - p. 1689-1699 , 2024
Link:
https://doi.org/10.1007/978-981-97-4010-9_131
RT T1 <cTitle>Lecture Notes in Electrical Engineering; 2023 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2023) Proceedings</cTitle>: T1 <Title>An Improved Machine Learning Method to Speed up the Trajectory Prediction: Taking Melbourne Airport as a Study Case</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-981-97-4010-9_131&Exemplar=1&LAN=DE A1 Xi, Yuting A1 Ma, Ji A1 Wang, Zhengyi A1 Zhang, Hong-Yan A1 Liang, Man A1 Gardi, Alessandro A1 Sabatini, Roberto A1 Delahaye, Daniel PB Springer Nature Singapore YR 2024 SP 1689 OP 1699 LK http://dx.doi.org/https://doi.org/10.1007/978-981-97-4010-9_131 DO https://doi.org/10.1007/978-981-97-4010-9_131 SF ELIB - SuUB Bremen
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