AI-based detection and identification of low-level nuclear waste: a comparative analysis

Author:

Duani Rojas ArisORCID,Lagos Leonel,Upadhyay Himanshu,Soni Jayesh,Prabakar Nagarajan

Funder

Office of Environmental Management

Publisher

Springer Science and Business Media LLC

Reference27 articles.

1. E. National Academies of Sciences and Medicine, Low-Level Radioactive Waste Management and Disposition: Proceedings of a Workshop. The National Academies Press, Washington, 2017.

2. O. of Nuclear Energy, Spent fuel and waste disposition, 2023.

3. Huerta EA, Khan A, Davis E, Bushell C, Gropp WD, Katz DS, Kindratenko V, Koric S, Kramer WTC, McGinty B, McHenry K, Saxton A (2020) Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure. J Big Data 7:88

4. J. Redmon SK, Divvala RB, Girshick R, Farhadi A. (2015) You only look once: Unified, real-time object detection, CoRR, vol. abs/1506.02640

5. Ren S, He K, Girshick RB, Sun J (2015) Faster R-CNN: towards real-time object detection with region proposal networks, CoRR, vol. abs/1506.01497

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