Project Summary
The CAIAS collaborated with Honeywell’s Kansas City Nuclear Security Campus (KCNSC) to conduct research on knowledge graphs, ontologies, graph neural networks, and Adaptive Resonance Theory (ART). This work explored the use of ART clustering algorithms on purely symbolic data of variable feature dimensionality, resulting in the submission of a research article to a special issue of MDPI (preprint version here).
The preprint of the paper can be viewed at the IEEE preprint server TechRxiv here.
