Prediction of surface reflectance using a deep learning model trained on synthetic surface images-Reference-Cited by-同舟云学术

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Prediction of surface reflectance using a deep learning model trained on synthetic surface images

Published:2024-07 Issue: Volume:133 Page:108672
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Yoo Jeonghyun^ORCID,Ki Hyungson^ORCID

Funder

Ulsan National Institute of Science and Technology

Publisher

Elsevier BV

Reference28 articles.

1. Dielectric functions and optical parameters of si, ge, gap, gaas, gasb, inp, inas, and insb from 1.5 to 6.0 ev;Aspnes;Phys. Rev. B,1983

2. Learning to see by looking at noise;Baradad Jurjo;Adv. Neural Inf. Process. Syst.,2021

3. J. I. S. Committee, “Stainless Steel Bars,” JIS G4303...

4. Statistical comparisons of classifiers over multiple data sets;Demšar;J. Mach. Learn. Res.,2006

5. Optical constants of chemical vapor deposited graphene for photonic applications;El-Sayed;Nanomaterials,2021

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