@misc{indiciae1e3b431b0b4b,
  title = {A non-intrusive framework using acoustic signals and deep learning for boiling diagnostics in visual-limited environments},
  author = {Huang, Pei-Hsun [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] and Seong, Jee Hyun [Korea Advanced Inst. Science and Technology (KAIST), Daejeon (Korea, Republic of)] and Castro-Aguilar, Jonathan Mario [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] and Vermeulen, Christiaan [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000267238983) and O’Brien, Ellen Margaret [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000175951538)},
  year = {2026},
  doi = {10.1038/s41598-026-41757-z},
  url = {https://www.osti.gov/biblio/3367634},
  note = {Source identifier: 3367634}
}