Skip to main navigation
Skip to search
Skip to main content
University of Luebeck Home
English
Deutsch
Home
Research Units
Experts
Publications
Projects
Datasets
Prizes
Spin-Offs
Activities
Media
Search by expertise, name or affiliation
The capabilities of artificial neural networks in body composition research
R. Linder
*
, E. I. Mohamed, A. De Lorenzo, S. J. Pöppl
*
Corresponding author for this work
Institute of Medical Informatics
I.N.F.N. Sezione di Rome 'Tor Vergata,'
10
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'The capabilities of artificial neural networks in body composition research'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Engineering
Real Life
100%
Biosignal
100%
Normal Distribution
100%
Psychology
Neural Network
100%
Body Composition
100%
Gaussian Distribution
25%
Neuroscience
Neural Network
100%
In Vivo
25%
Mathematics
Logistic Regression Analysis
25%
Gaussian Distribution
25%
Real Life
25%
Linear Relationship
25%