Developing a high- and low-cetane classifier for biologically produced chemicals using variable quality training data.
Conference
·
OSTI ID:1506835
Abstract not provided.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1506835
- Report Number(s):
- SAND2017-7182C; 655133
- Country of Publication:
- United States
- Language:
- English
Similar Records
SEC301 Classified Matter Training .
BioCompoundML: a general biofuel property screening tool for biological molecules using Random Forest Classifiers.
An End-to-End Approach to Developing Biological and Chemical Detector Requirements.
Conference
·
Mon Dec 31 23:00:00 EST 2012
·
OSTI ID:1649845
BioCompoundML: a general biofuel property screening tool for biological molecules using Random Forest Classifiers.
Conference
·
Mon Aug 01 00:00:00 EDT 2016
·
OSTI ID:1529804
An End-to-End Approach to Developing Biological and Chemical Detector Requirements.
Conference
·
Wed Apr 01 00:00:00 EDT 2009
·
OSTI ID:1142322