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eNauka >  Results >  CYBELE: A Hybrid Architecture of HPC and Big Data for AI Applications in Agriculture
Title: CYBELE: A Hybrid Architecture of HPC and Big Data for AI Applications in Agriculture
Authors: Zhou, Naweiluo; Zhong, Li; Hoppe, Dennis; Pejak, Branislav  ; Marko, Oskar  ; Cardona, Javier; Czerkawski, Mikolaj; Andonović, Ivan; Michie, Craig; Tachtatzis, Christos;
Alexakis, Emmanouil; Mavrepis, Philip; Kyriazis, Dimosthenis; Pospieszny, Marcin;
Issue Date: 2022
Publication: In book: HPC, Big Data, and AI Convergence Towards Exascale
Publisher: CRC Press
Type: Book parts
ISBN: 9781032009841 Search Idenfier
Collation: str. 255-272
DOI: 10.1201/9781003176664-13
Scopus-ID: 2-s2.0-85138379659
URI: https://zenodo.org/record/5597977
https://enauka.gov.rs/handle/123456789/228167
URL: https://www.routledge.com/HPC-Big-Data-AI-Convergence-Towards-Exascale-Challenge-and-Vision/Terzo-Martinovic/p/book/9781032009841
Metadata source: (Preuzeto iz KNR-a) Marko, Oskar
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