@misc{indiciae5992a11e8831,
  title = {GenAI-Based Digital Twins Aided Data Augmentation Increases Accuracy in Real-Time Cokurtosis-Based Anomaly Detection of Wearable Data},
  author = {Kamruzzaman, Methun [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)] (ORCID:0000000286807061) and Salinas, Jorge Sebastian [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)] (ORCID:0000000280854238) and Kolla, Hemanth [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)] (ORCID:0000000349695870) and Sale, Kenneth L. [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)] (ORCID:0000000242698940) and Balakrishnan, Uma [Sandia National Laboratories (SNL-CA), Livermore, CA (United States); Univ. of Pennsylvania, Philadelphia, PA (United States)] (ORCID:0000000316686150) and Poorey, Kunal [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)] (ORCID:0000000336650235)},
  year = {2025},
  doi = {10.3390/s25175586},
  url = {https://www.osti.gov/biblio/3019061},
  note = {Source identifier: 3019061}
}