Variable data structures and customized deep learning surrogates for computationally efficient and reliable characterization of buried objects.

MLA

Yurt, Reyhan, et al. “Variable Data Structures and Customized Deep Learning Surrogates for Computationally Efficient and Reliable Characterization of Buried Objects.” Scientific Reports, vol. 14, no. 1, June 2024, pp. 1–22. EBSCOhost, https://doi.org/10.1038/s41598-024-65996-0.

APA

Yurt, R., Torpi, H., Kizilay, A., Koziel, S., & Mahouti, P. (2024). Variable data structures and customized deep learning surrogates for computationally efficient and reliable characterization of buried objects. Scientific Reports, 14(1), 1–22. https://doi.org/10.1038/s41598-024-65996-0

Chicago

Yurt, Reyhan, Hamid Torpi, Ahmet Kizilay, Slawomir Koziel, and Peyman Mahouti. 2024. “Variable Data Structures and Customized Deep Learning Surrogates for Computationally Efficient and Reliable Characterization of Buried Objects.” Scientific Reports 14 (1): 1–22. doi:10.1038/s41598-024-65996-0.