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S. Koric

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Open access Sep 2026

Virtual sensing to enable real-time monitoring of inaccessible locations & unmeasurable parameters

Real-time monitoring of safety-critical interior states remains an open problem across energy, environmental, and industrial systems where direct instrumentation is infeasible. Existing approaches based on governing equations, discrete state vectors, or fixed sensor locations fail to provide mesh-independent, field-l...

Kazuma Kobayashi, Farid Ahmed, Jaewan Park et al. · 0 citations

From Proxies to Fields: Spatiotemporal Reconstruction of Global Radiation from Sparse Sensor Sequences

Accurate reconstruction of latent environmental fields from sparse, indirect observations is a fundamental challenge across scientific domains, from atmospheric science and geophysics to public health and aerospace safety. Existing approaches typically rely on physics-based simulations or dense sensor networks; however...

Kazuma Kobayashi, Samrendra Roy, S. Koric et al. · 7 citations
#machine learning Preprint Sep 2026

Disentangling Attention in Deep Operator Learning: A Controlled Study of Data-Driven and Physics-Informed Architectures

Overall, query-dependent cross-attention is the most reliable mechanism, whereas branch self-attention is most useful for large, spatially complex functional inputs, whereas branch self-attention is most useful for large, spatially complex functional inputs.

Amar Alem Koric, Qi-Bang Liu, S. Koric · 0 citations

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