Improving the development and reusability of Industrial AI through Semantic Models
(2024)
Conference Proceeding
Martínez-Arellano, G., & Ratchev, S. (in press). Improving the development and reusability of Industrial AI through Semantic Models.
Despite some of the success of AI, particularly machine learning, in industrial applications such as condition monitoring, quality inspection and asset control , solutions are typically bespoke and not robust in the long term. There is a considerable... Read More about Improving the development and reusability of Industrial AI through Semantic Models.