FLOATBench is a tabular benchmark dataset with 582,120 fatigue labels from 19,404 OpenFAST simulations of three 22 MW FOWT towers, featuring alpha-shape regime partitioning and three evaluation protocols for surrogate models.
Kirkpatrick, and Raimund Seidel
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A parameterized family of tensor products on persistence modules produces Künneth short exact sequences and universal coefficient theorems usable for persistent homology of filtered CW complexes and product spaces.
An output-sensitive linear-time algorithm computes the temporal α-shape α_T, a minimal encoding of all α-shapes over every time window, supporting fast interactive exploration of temporal point sets.
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FLOATBench: A Dataset and Benchmark for Floating Offshore Wind Turbine Tower Fatigue
FLOATBench is a tabular benchmark dataset with 582,120 fatigue labels from 19,404 OpenFAST simulations of three 22 MW FOWT towers, featuring alpha-shape regime partitioning and three evaluation protocols for surrogate models.
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A continuum of K\"unneth theorems for persistence modules
A parameterized family of tensor products on persistence modules produces Künneth short exact sequences and universal coefficient theorems usable for persistent homology of filtered CW complexes and product spaces.
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Interactive Exploration of the Temporal $\alpha$-Shape
An output-sensitive linear-time algorithm computes the temporal α-shape α_T, a minimal encoding of all α-shapes over every time window, supporting fast interactive exploration of temporal point sets.