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Date of Publication:2024-09-05
Journal:Information Sciences
Volume:677
ISSN No.:0020-0255
Key Words:Engineering applications; Heteroscedastic noise; Learning systems; Multi fidelities; Multi-fidelity surrogate framework; Multi-type data fusion; Noise data; Noise variance; Noisy data; Spurious signal noise; Surrogate modeling; Transfer learning
