Analysing MLOps and its Applicability in the Maritime Domain through a Systematic Mapping Study-Reference-Cited by-同舟云学术

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Analysing MLOps and its Applicability in the Maritime Domain through a Systematic Mapping Study

Published:2024-05-12 Issue: Volume:14 Page:1-8
ISSN:
Container-title:2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS)
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Author:

Morariu Andrei-Raoul¹,Ahmad Tanwir¹,Iancu Bogdan¹,Poikonen Jussi²,Björkqvist Jerker¹

Affiliation:

1. Åbo Akademi University,Faculty of Science and Engineering

2. Awake.AI Ltd

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10639954/10639940/10639945.pdf?arnumber=10639945

Reference47 articles.

1. A Survey of Deep Learning: Platforms, Applications and Emerging Research Trends

2. Deep Learning for Health Informatics

3. Hidden technical debt in machine learning systems;Sculley

4. Who Needs MLOps: What Data Scientists Seek to Accomplish and How Can MLOps Help?

5. Leveraging extreme scale analytics, AI and digital twins for maritime digitalization: the VesselAI architecture

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