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TinyML: A Systematic Review and Synthesis of Existing Research
Fraunhofer Institute for Experimental Software Engineering IESE,Data Science Department,Kaiserslautern,Germany.ORCID-id: 0000-0001-9320-3808
Fraunhofer Institute for Experimental Software Engineering IESE,Data Science Department,Kaiserslautern,Germany.
2022 (engelsk)Inngår i: 2022 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 2022, s. 269-274Konferansepaper, Publicerat paper (Fagfellevurdert)
sted, utgiver, år, opplag, sider
2022. s. 269-274
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URN: urn:nbn:se:ltu:diva-110034DOI: 10.1109/icaiic54071.2022.9722636Scopus ID: 2-s2.0-85127720179OAI: oai:DiVA.org:ltu-110034DiVA, id: diva2:1899087
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The 4th International Conference on Artificial Intelligence in Information and Communication, February 21-24, 2022, Shilla Stay Jeju, Jeju lsland, Korea
Tilgjengelig fra: 2024-09-19 Laget: 2024-09-19 Sist oppdatert: 2025-10-21bibliografisk kontrollert

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