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Title: Imaged Analysis and machine Learning for NIF Optics Inspection

Authors:
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1426129
Report Number(s):
LLNL-CONF-746729
DOE Contract Number:  
AC52-07NA27344
Resource Type:
Conference
Resource Relation:
Conference: Presented at: Women in Data Science conference, Livermore, CA, United States, Mar 05 - Mar 05, 2018
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; 97 MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE

Citation Formats

Kegelmeyer, L. Imaged Analysis and machine Learning for NIF Optics Inspection. United States: N. p., 2018. Web.
Kegelmeyer, L. Imaged Analysis and machine Learning for NIF Optics Inspection. United States.
Kegelmeyer, L. Tue . "Imaged Analysis and machine Learning for NIF Optics Inspection". United States. https://www.osti.gov/servlets/purl/1426129.
@article{osti_1426129,
title = {Imaged Analysis and machine Learning for NIF Optics Inspection},
author = {Kegelmeyer, L},
abstractNote = {},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {2}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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