AI RESEARCH
Reconstructing Unobservable Temperature Fields via Simulation-Aided Intelligent Sensing
arXiv CS.LG
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ArXi:2606.04582v1 Announce Type: cross Real-time monitoring of the temperature distribution within components and sub-structures is a challenging topic in many systems due to restrictions on feasible sensor locations. While machine learning (ML) proves a versatile tool in many applications, its adoption for high-resolution thermal monitoring is hindered by the availability of high-quality datasets for