5 papers
Recent Developments in Transformer Inference Deployment on FPGA Platforms: A Survey
Arjan Blankestijn, Uraz Odyurt, Amirreza Yousefzadeh
With the rapid and continuous growth in the incorporation of machine learning models based on the Transformer architecture, capable deployment is in high demand. In this context, c…
Explainable AI to Improve Machine Learning Reliability for Industrial Cyber-Physical Systems
Annemarie Jutte, Uraz Odyurt
Industrial Cyber-Physical Systems (CPS) are sensitive infrastructure from both safety and economics perspectives, making their reliability critically important. Machine Learning (M…
Defining Energy Indicators for Impact Identification on Aerospace Composites: A Structured Feature Selection Approach Guided by Domain Knowledge
Natália Ribeiro Marinho, Richard Loendersloot, Frank Grooteman +3
Energy estimation is critical to impact identification on aerospace composites, where low-velocity impacts can induce internal damage that is undetectable at the surface. Data spar…
CPSLint: A Domain-Specific Language Providing Data Validation and Sanitisation for Industrial Cyber-Physical Systems
Uraz Odyurt, Ömer Sayilir, Mariëlle Stoelinga +1
Industrial cyber-physical systems generate vast amounts of semi-structured time-series data that require careful preprocessing before they can be effectively used for machine learn…
Demonstrators for Industrial Cyber-Physical System Research: A Requirements Hierarchy Driven by Software-Intensive Design
Uraz Odyurt, Richard Loendersloot, Tiedo Tinga
One of the challenges apparent in the organisation of research projects is the uncertainties around the subject of demonstrators. A precise and detailed elicitation of the coverage…