Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Optimizing the Performance of an Unpredictable UAV Swarm for Intruder Detection
Stolfi Rosso, Daniel; Brust, Matthias R.; Danoy, Grégoire et al.
2020In Optimization and Learning - Third International Conference, OLA 2020, Cádiz, Spain, February 17-19, 2020, Proceedings
Peer reviewed
 

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Disciplines :
Computer science
Author, co-author :
Stolfi Rosso, Daniel  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Brust, Matthias R. ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Danoy, Grégoire  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC)
Bouvry, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
no
Language :
English
Title :
Optimizing the Performance of an Unpredictable UAV Swarm for Intruder Detection
Publication date :
2020
Event name :
Third International Conference on Optimization and Learning (OLA 2020)
Event date :
17-02-2020
Audience :
International
Main work title :
Optimization and Learning - Third International Conference, OLA 2020, Cádiz, Spain, February 17-19, 2020, Proceedings
Publisher :
Springer
Collection name :
Communications in Computer and Information Science
Pages :
37--48
Peer reviewed :
Peer reviewed
Commentary :
1173
Available on ORBilu :
since 07 August 2020

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