Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Samuel Lerma"'
Autor:
Diba, Khan, Meeyoung, Park, Samuel, Lerma, Stephen, Soroka, Denise, Gaughan, Lyndsay, Bottichio, Monika, Bray, Mary, Fukushima, Brooke, Bregman, Caleb, Wiedeman, William, Duck, Deborah, Dee, Adi, Gundlapalli, Amitabh B, Suthar
Publikováno v:
Journal of the American Medical Informatics Association. 29:1807-1809
During the coronavirus disease-2019 (COVID-19) pandemic, the Centers for Disease Control and Prevention (CDC) supplemented traditional COVID-19 case and death reporting with COVID-19 aggregate case and death surveillance (ACS) to track daily cumulati
Autor:
Diba Khan, Meeyoung Park, Jacqueline Burkholder, Sorie Dumbuya, Matthew D. Ritchey, Paula Yoon, Amanda Galante, Joseph L. Duva, Jeffrey Freeman, William Duck, Stephen Soroka, Lyndsay Bottichio, Michael Wellman, Samuel Lerma, B. Casey Lyons, Deborah Dee, Seghen Haile, Denise M. Gaughan, Adam Langer, Adi V. Gundlapalli, Amitabh B. Suthar
Publikováno v:
Public Health Reports. :003335492311635
Early during the COVID-19 pandemic, the Centers for Disease Control and Prevention (CDC) leveraged an existing surveillance system infrastructure to monitor COVID-19 cases and deaths in the United States. Given the time needed to report individual-le
Publikováno v:
npj Computational Materials, Vol 9, Iss 1, Pp 1-12 (2023)
Abstract In current in situ X-ray diffraction (XRD) techniques, data generation surpasses human analytical capabilities, potentially leading to the loss of insights. Automated techniques require human intervention, and lack the performance and adapta
Externí odkaz:
https://doaj.org/article/9c40a4753bed4c8192d7ba52294e273d
Author Correction: Automated classification of big X-ray diffraction data using deep learning models
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/f748273eb1024b42ae2e1d7d5d3e72f3