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Author

Roman Pavelkin

2 papers indexed here

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Preprint Aug 2026

ORCAS - Orthogonal Representation for Compression of distributed Acoustic Sensing

Distributed Acoustic Sensing (DAS) utilizes fiber-optic cables to create virtual sensor arrays that monitor vibrations and strain over long distances. DAS is particularly useful in remote seismic sensing and infrastructure protection but generates large data volumes that pose processing challenges. The paper presents O...

Roman Pavelkin, L. A. Zavala-Mondragón, F. W. van der Sommen · 0 citations
Preprint Sep 2026

Flow-TAG: Flow-based conditional latent transport for accurate spline approximation and data compression

Robust curve fitting is essential in computer-aided design for transforming noisy, discrete data into accurate geometric models that ensure numerical stability across engineering workflows. B-spline models have become the industry standard for this task, offering a flexible and reliable framework characterized by local...

Roman Pavelkin, L. A. Zavala-Mondragón, Fons van der Sommen · 0 citations

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