Simulation-assisted multimodal deep learning (Sim-MDL) fusion models for the evaluation of thermal barrier coatings using infrared thermography and Terahertz imaging.
- DOI
- 10.1038/s41598-025-31783-8
- Published
- 2025 Dec 8
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-31783-8,
title = {Simulation-assisted multimodal deep learning (Sim-MDL) fusion models for the evaluation of thermal barrier coatings using infrared thermography and Terahertz imaging.},
author = {Purayil SKK and Aroliveetil S and Chaturvedi A and Balasubramaniam K},
year = {2025},
journal = {Scientific reports},
doi = {10.1038/s41598-025-31783-8},
url = {https://doi.org/10.1038/s41598-025-31783-8}
}RIS
TY - JOUR TI - Simulation-assisted multimodal deep learning (Sim-MDL) fusion models for the evaluation of thermal barrier coatings using infrared thermography and Terahertz imaging. AU - Purayil SKK AU - Aroliveetil S AU - Chaturvedi A AU - Balasubramaniam K PY - 2025 JO - Scientific reports DO - 10.1038/s41598-025-31783-8 UR - https://doi.org/10.1038/s41598-025-31783-8 ER -
APA
SKK, P., S, A., A, C., & K, B. (2025). Simulation-assisted multimodal deep learning (Sim-MDL) fusion models for the evaluation of thermal barrier coatings using infrared thermography and Terahertz imaging.. Scientific reports. https://doi.org/10.1038/s41598-025-31783-8
Source records
- pubmed · retrieved 2026-09-26T17:15:25.837Z