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arXiv Machine Learning By M. E. P. Silva, L. S. Araujo, F. T. Colombo, A. Cunha Jr, S. da Silva

Characterization of Thermal Systems from Noisy and Low-resolution Measurements Using Dynamic Mode Decomposition

Read the original on arXiv Machine Learning →

arXiv:2608. 14581v1 Announce Type: cross Abstract: Thermal monitoring in practical applications is often constrained by sparse sensing, measurement noise, and limited spatial resolution, which hinder the identification of heat transfer dynamics.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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