5 citations · 5 across the 1 of their papers we have counts for
2 papers
cs.LG2020★ 5 cited
Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning
Steven L. Brunton, J. Nathan Kutz, Krithika Manohar +9
Data science, and machine learning in particular, is rapidly transforming the scientific and industrial landscapes. The aerospace industry is poised to capitalize on big data and m…
stat.ML2017
Predicting shim gaps in aircraft assembly with machine learning and sparse sensing
Krithika Manohar, Thomas Hogan, Jim Buttrick +3
A modern aircraft may require on the order of thousands of custom shims to fill gaps between structural components in the airframe that arise due to manufacturing tolerances adding…