Integrating Edge Computing and Machine Learning for Thermal Anomaly Detection: A Space System Architecture

Moreira, Carmen Misa; HEIN, Andreas

doi:10.1007/978-3-031-62554-1_27

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Integrating Edge Computing and Machine Learning for Thermal Anomaly Detection: A Space System Architecture

Moreira, Carmen Misa; HEIN, Andreas

2024 • In Conference on Systems Engineering Research Series

Peer reviewed

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https://hdl.handle.net/10993/65703

DOI
10.1007/978-3-031-62554-1_27

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Disciplines :

Aerospace & aeronautics engineering
Computer science

Author, co-author :

Moreira, Carmen Misa

HEIN, Andreas ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPASYS

External co-authors :

Language :

English

Title :

Integrating Edge Computing and Machine Learning for Thermal Anomaly Detection: A Space System Architecture

Publication date :

2024

Main work title :

Conference on Systems Engineering Research Series

Publisher :

Springer Nature Switzerland, Switzerland

ISBN/EAN :

978-3-03-162554-1
978-3-03-162553-4

Peer reviewed :

Peer reviewed

Additional URL :

https://link.springer.com/content/pdf/10.1007/978-3-031-62554-1_27

Available on ORBilu :

since 05 September 2025

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