CORE
CO
nnecting
RE
positories
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Research partnership
About
About
About us
Our mission
Team
Blog
FAQs
Contact us
Community governance
Governance
Advisory Board
Board of supporters
Research network
Innovations
Our research
Labs
Model inference using the Akaike information criterion for turbulent flow of non-Newtonian crude oils in pipelines
Authors
A Hemeida
A Shaqlaih
+28 more
A Shenoy
A Shenoy
A Szilas
B Torrance
D Anderson
D Burnham
D Dodge
DG Thomas
E Garica
G Claeskens
G Govier
H Akaike
J Hartnet
K Tam
L Moody
N El-Emam
P Gao
R Derby
R Hanks
R Larson
R Shaver
S Desouky
TF Irvine Jr
V Streeter
W Mendenhall
Y Hawase
Y Tomita
Z Kemblowski
Publication date
Publisher
'Springer Science and Business Media LLC'
Doi
Cite
Abstract
Abstract is not available.
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Crossref
See this paper in CORE
Go to the repository landing page
Download from data provider
info:doi/10.1007%2Fs12182-015-...
Last time updated on 01/04/2019
