DDD-GenDT uses an LLM ensemble with sliding observation windows to zero-shot predict CNC spindle current, reaching 0.48 A RMSE on the NASA milling dataset.
The dynamic data driven applications systems (dddas) paradigm and emerging directions,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.LG 1years
2024 1verdicts
REJECT 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework
DDD-GenDT uses an LLM ensemble with sliding observation windows to zero-shot predict CNC spindle current, reaching 0.48 A RMSE on the NASA milling dataset.