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Shape factor (image analysis and microscopy)
Known as:
Shape factor
Shape factors are dimensionless quantities used in image analysis and microscopy that numerically describe the shape of a particle, independent of…
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Related topics
Related topics
6 relations
Coastline paradox
Cross section (geometry)
Image analysis
Orthographic projection
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Broader (1)
Image processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Fibre Characteristics of The Trunk of Citrus Sinensis (L.) Osbeck
O. Eromosele
2015
Corpus ID: 53318728
The fibre characteristics of the trunk of Citrus sinensis (L) Osbeck have been studied with the aim of discovering another…
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2013
2013
Investigation of the materials and paste relationships to improve forming process and anode quality
Kamran Azari Dorcheh
2013
Corpus ID: 139165150
2010
2010
Dielectric elastomer bending tube actuators with rigid electrode structures
F. Wehrheim
,
H. Schlaak
,
J. Meyer
Smart Structures and Materials + Nondestructive…
2010
Corpus ID: 111135328
The common approach for dielectric elastomer actuators (DEA) is based on the assumption that compliant electrodes are a…
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2008
2008
Turbulent Boundary Layer Separation and Control
Ola Lögdberg
2008
Corpus ID: 43572140
Boundary layer separation is an unwanted phenomenon in most technical applications, as for instance on airplane wings, ground…
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2005
2005
Multi-Rate Transfer Dual Porosity Modeling of Gravity Drainage Imbibition
2005
Corpus ID: 28623947
We develop a physically motivated approach to modeling displacement processes in fractured reservoirs. To find matrix/ fracture…
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2004
2004
Quantitative Discrimination of Effective Porosity Using Digital Image Analysis - Implications for Porosity-Permeability Transforms
G. Eberli
,
G. Baechle
,
Ralf J. Weger
66th EAGE Conference & Exhibition
2004
Corpus ID: 9029762
Five relevant digital image analysis parameters for fluid flow are obtained from 2-D image analysis of carbonate rocks: 2-D image…
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2003
2003
LRFD Design Example for Steel Girder Superstructure Bridge with Commentary
R. A. Hartle
,
K. Wilson
,
William A Amrhein
,
S. Zang
,
Justin W Bouscher
,
L. E. Volle
2003
Corpus ID: 115681998
2003
2003
Improvement and validation of a thermodynamic S.I. engine simulation code
E. A. Aghdam
2003
Corpus ID: 106854222
This study was concerned with improvement and validation of a thermodynamic spark ignition engine simulation code developed in…
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2002
2002
EFFECT OF COPPER AND NICKEL ALLOYING ADDITIONS ON THE TENSILE AND FATIGUE BEHAVIOR OF SINTERED STEELS
N. Chawla
,
D. Babić
,
J. Williams
,
S. Polasik
,
T. Lane
,
Cinnaminson
2002
Corpus ID: 53499215
The influence of Cu and Ni on tensile and fatigue behavior of Fe-0.85Mo prealloy with 0.6% graphite addition was investigated…
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Review
1997
Review
1997
PREDICTING FOUNDATION HEAT LOSSES : NEURAL NETWORKS VERSUS THE BASESIMP CORRELATIONS
I. Beausoleil-Morrison
1997
Corpus ID: 173169646
This paper describes a series of tests that were performed to determine whether a neural-network model could outperform a…
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