@misc{indiciae9cb6b8294af3,
  title = {Non-destructive evaluation and machine learning methods for inspection of spent nuclear fuel canisters: A state-of-the-art review},
  author = {Zhuang, Bozhou [University of Southern California, Los Angeles, CA (United States)] and Arcaro, Anna [University of Southern California, Los Angeles, CA (United States)] and Gencturk, Bora [University of Southern California, Los Angeles, CA (United States)] (ORCID:0000000169200834) and Meyer, Ryan [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] and Oberai, Assad [University of Southern California, Los Angeles, CA (United States)] and Sinkov, Anton [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)] and Good, Morris [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)]},
  year = {2025},
  doi = {10.1016/j.pnucene.2025.105697},
  url = {https://www.osti.gov/biblio/2538392},
  note = {Source identifier: 2538392}
}