Author

Z. U. Rizqi

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Conference Sep 2026

Ontology-Based Grounding and Feedback for Reliable LLM-Based Asset Administration Shell Generation

Creating and maintaining high-quality, consistent and interoperable Asset Administration Shells (AAS) requires skilled engineers, with expertise in the AAS metamodel, relevant submodel templates, and the application domain, which limits broader adoption of AAS-based digital twins in manufacturing. This paper presents a...

M. B. Jensen, Tristan Schwörer, Sazvan Saeed et al. · IEEE International Conferenc... · 0 citations

#explainable ai Review Open access Oct 2026

A Systematic Literature Review of Machine Learning, Deep Learning, and Explainable AI for Predicting Mechanical Performance and Microplastic Release in Plastic Waste-Modified Asphalt

A new Explainable Deep Learning (XDL) architecture is suggested that allows predicting mechanical performance and microplastic emissions simultaneously with greater interpretability and will be used to develop data-driven, transparent, and sustainable pavement design strategies.

I. G. A. A. Putra, Z. U. Rizqi · International Journal of Civ... · 0 citations