Languages
Niggemann, Oliver.
Overview
| Works: | 1 works in 3 publications in 1 languages | |
|---|---|---|
Titles
Machine Learning for Cyber Physical Systems = Selected papers from the International Conference ML4CPS 2018 /
by:
Kühnert, Christian.; Niggemann, Oliver.; SpringerLink (Online service); Beyerer, Jürgen.
(Language materials, printed)
, [http://id.loc.gov/vocabulary/relators/edt]
IMPROVE - innovative modelling approaches for production systems to raise validatable efficiency = intelligent methods for the factory of the future /
by:
Niggemann, Oliver.; Schuller, Peter.; SpringerLink (Online service)
(Language materials, printed)
Machine Learning for Cyber Physical Systems = Selected papers from the International Conference ML4CPS 2020 /
by:
Beyerer, Jürgen.; SpringerLink (Online service); Maier, Alexander.; Niggemann, Oliver.
(Language materials, printed)
, [http://id.loc.gov/vocabulary/relators/edt]
Machine Learning for Cyber Physical Systems = Selected papers from the International Conference ML4CPS 2015 /
by:
Beyerer, Jürgen.; SpringerLink (Online service); Niggemann, Oliver.
(Language materials, printed)
, [http://id.loc.gov/vocabulary/relators/edt]
Machine learning for cyber physical systems = selected papers from the International Conference ML4CPS 2016 /
by:
Kuhnert, Christian.; Beyerer, Jurgen.; SpringerLink (Online service); Workshop on the Preservation of Stability under Discretization ((2001 :); Niggemann, Oliver.
(Language materials, printed)
Machine learning for cyber physical systems = selected papers from the International Conference ML4CPS 2015 /
by:
SpringerLink (Online service); Beyerer, Jurgen.; Workshop on the Preservation of Stability under Discretization ((2001 :); Niggemann, Oliver.
(Language materials, printed)
Machine Learning for Cyber Physical Systems = Selected papers from the International Conference ML4CPS 2017 /
by:
Niggemann, Oliver.; Maier, Alexander.; SpringerLink (Online service); Beyerer, Jürgen.
(Language materials, printed)
, [http://id.loc.gov/vocabulary/relators/edt]
IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency = Intelligent Methods for the Factory of the Future /
by:
Niggemann, Oliver.; SpringerLink (Online service); Schüller, Peter.
(Language materials, printed)
, [http://id.loc.gov/vocabulary/relators/edt]
Subjects
Knowledge management.
Computer organization.
Computer engineering.
Robotics and Automation.
Electrical engineering.
Automation.
Communications Engineering, Networks.
Quality Control, Reliability, Safety and Risk.
Knowledge Management.
Computer Systems Organization and Communication Networks.
Data Mining and Knowledge Discovery.
Computational intelligence.
Input-output equipment (Computers).
Machine learning
Cooperating objects (Computer systems)
Data mining.
Reliability.
Computational Intelligence.
Internet of things.
Embedded computer systems.
Cyber-physical systems, IoT.
Engineering.
Quality control.
Production management.
Robotics.
Industrial safety.
Industrial efficiency
Input/Output and Data Communications.