A five-layer MLOps architecture is proposed as a blueprint for collective learning in connected automated driving systems to support continual safety and performance assurance.
Machine learning operations (mlops): Overview, definition, and architecture
2 Pith papers cite this work. Polarity classification is still indexing.
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The paper surveys technical requirements, use cases, challenges, and future trends for building brain-computer interfaces on top of 6G wireless networks.
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A Five-Layer MLOps Architecture for Connected Automated Driving
A five-layer MLOps architecture is proposed as a blueprint for collective learning in connected automated driving systems to support continual safety and performance assurance.
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Toward 6G-enabled Brain Computer Interfaces: Technical Requirements, Use Cases, Challenges, and Future Trends
The paper surveys technical requirements, use cases, challenges, and future trends for building brain-computer interfaces on top of 6G wireless networks.