Forcing-informed resolvent analysis extracts data-consistent forcing and response modes for self-sustained flows by estimating input-output subspaces from nonlinear forcing snapshots.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
GeoCat combines dual Cartesian-polar encoders with a geometry consistency loss to improve both segmentation overlap and clinical geometry accuracy on a 12k-frame IVUS dataset.
citing papers explorer
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Forcing-informed resolvent analysis: Identification of input-output relations in self-sustained flows
Forcing-informed resolvent analysis extracts data-consistent forcing and response modes for self-sustained flows by estimating input-output subspaces from nonlinear forcing snapshots.
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Clinically Aligned Geometry Constraints for Robust IVUS Vessel Boundary Segmentation
GeoCat combines dual Cartesian-polar encoders with a geometry consistency loss to improve both segmentation overlap and clinical geometry accuracy on a 12k-frame IVUS dataset.