A3 Book section, Chapters in research books
Agile Deep Learning UAVs Operating in Smart Spaces : Collective Intelligence Versus “Mission-Impossible” (2018)

Cochez, M., Periaux, J., Terziyan, V., & Tuovinen, T. (2018). Agile Deep Learning UAVs Operating in Smart Spaces : Collective Intelligence Versus “Mission-Impossible”. In P. Diez, P. Neittaanmäki, J. Periaux, T. Tuovinen, & O. Bräysy (Eds.), Computational Methods and Models for Transport: New Challenges for the Greening of Transport (pp. 31-53). Springer. doi:10.1007/978-3-319-54490-8_3

JYU authors or editors

Publication details

All authors or editors: Cochez, Michael; Periaux, Jacques; Terziyan, Vagan; Tuovinen, Tero

Parent publication: Computational Methods and Models for Transport: New Challenges for the Greening of Transport

Parent publication editors: Diez, Pedro; Neittaanmäki, Pekka; Periaux, Jacques; Tuovinen, Tero; Bräysy, Olli

ISBN: 978-3-319-54489-2

Journal or series: Computational Methods in Applied Sciences

ISSN: 1871-3033

Publication year: 2018

Number in series: 45

Pages range: 31-53

Number of pages in the book: 252

Publisher: Springer

Publication country: Netherlands

Publication language: English

DOI: https://doi.org/10.1007/978-3-319-54490-8_3

Open Access: Publication channel is not openly available

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/60412

Additional information: This book brings together lectures presented at the ECCOMAS Thematic CM3 Conference on Transport held in Jyväskylä, Finland, 25-27 May 2015.

Keywords: unmanned aerial vehicles; machine learning

Free keywords: agile learning; deep learning

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2018

JUFO rating: 0