Machine Learning for Cyber Physical Systems - Technologien für die intelligente Automation
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Published By Springer Berlin Heidelberg

9783662590836, 9783662590843

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Evaluation of Deep Autoencoders for Prediction of Adjustment Points in the Mass Production of Sensors

Machine Learning for Cyber Physical Systems - Technologien für die intelligente Automation ◽

10.1007/978-3-662-59084-3_2 ◽

2019 ◽

pp. 9-16

Author(s):

Martin Lachmann ◽

Tilman Stark ◽

Martin Golz ◽

Eberhard Manske

Keyword(s):

Mass Production

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Prescriptive Maintenance of CPPS by Integrating Multimodal Data with Dynamic Bayesian Networks

Machine Learning for Cyber Physical Systems - Technologien für die intelligente Automation ◽

10.1007/978-3-662-59084-3_1 ◽

2019 ◽

pp. 1-8 ◽

Cited By ~ 4

Author(s):

Fazel Ansari ◽

Robert Glawar ◽

Wilfried Sihn

Keyword(s):

Bayesian Networks ◽

Dynamic Bayesian Networks ◽

Multimodal Data

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Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems.

Machine Learning for Cyber Physical Systems - Technologien für die intelligente Automation ◽

10.1007/978-3-662-59084-3_6 ◽

2019 ◽

pp. 43-51

Author(s):

Andreas Bunte ◽

Peng Li ◽

Oliver Niggemann

Keyword(s):

Concept Learning ◽

Cyber Physical Systems ◽

Physical Systems ◽

Knowledge Based

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Machine Learning for Process-X: A Taxonomy

Machine Learning for Cyber Physical Systems - Technologien für die intelligente Automation ◽

10.1007/978-3-662-59084-3_4 ◽

2019 ◽

pp. 25-33

Author(s):

Felix Reinhart ◽

Sebastian von Enzberg ◽

Arno Kühn ◽

Roman Dumitrescu

Keyword(s):

Machine Learning

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Intelligent edge processing

Machine Learning for Cyber Physical Systems - Technologien für die intelligente Automation ◽

10.1007/978-3-662-59084-3_5 ◽

2019 ◽

pp. 35-42 ◽

Cited By ~ 2

Author(s):

Ljiljana Stojanovic

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The Acoustic Test System for Transmissions in the VW Group

Machine Learning for Cyber Physical Systems - Technologien für die intelligente Automation ◽

10.1007/978-3-662-59084-3_10 ◽

2019 ◽

pp. 81-87

Author(s):

Thomas Lewien ◽

Ivan Slimak ◽

Pyare Püschel

Keyword(s):

Test System

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Verstehen von Maschinenverhalten mit Hilfe von Machine Learning

Machine Learning for Cyber Physical Systems - Technologien für die intelligente Automation ◽

10.1007/978-3-662-59084-3_8 ◽

2019 ◽

pp. 63-71

Author(s):

Heinrich Warkentin ◽

Meike Wocken ◽

Alexander Maier

Keyword(s):

Machine Learning

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Adaptable Realization of Industrial Analytics Functions on Edge-Devices using Reconfigurable Architectures

Machine Learning for Cyber Physical Systems - Technologien für die intelligente Automation ◽

10.1007/978-3-662-59084-3_9 ◽

2019 ◽

pp. 73-80 ◽

Cited By ~ 1

Author(s):

Carlos Paiz Gatica ◽

Marco Platzner

Keyword(s):

Reconfigurable Architectures

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Semi-supervised Case-based Reasoning Approach to Alarm Flood Analysis

Machine Learning for Cyber Physical Systems - Technologien für die intelligente Automation ◽

10.1007/978-3-662-59084-3_7 ◽

2019 ◽

pp. 53-61 ◽

Cited By ~ 1

Author(s):

Marta Fullen ◽

Peter Schüller ◽

Oliver Niggemann

Keyword(s):

Case Based Reasoning ◽

Flood Analysis ◽

Case Based

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Differential Evolution in Production Process Optimization of Cyber Physical Systems

Machine Learning for Cyber Physical Systems - Technologien für die intelligente Automation ◽

10.1007/978-3-662-59084-3_3 ◽

2019 ◽

pp. 17-23

Author(s):

Katharina Giese ◽

Jens Eickmeyer ◽

Oliver Niggemann

Keyword(s):

Differential Evolution ◽

Production Process ◽

Process Optimization ◽

Cyber Physical Systems ◽

Physical Systems

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Machine Learning for Cyber Physical Systems - Technologien für die intelligente AutomationLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Evaluation of Deep Autoencoders for Prediction of Adjustment Points in the Mass Production of Sensors

Prescriptive Maintenance of CPPS by Integrating Multimodal Data with Dynamic Bayesian Networks

Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems.

Machine Learning for Process-X: A Taxonomy

Intelligent edge processing

The Acoustic Test System for Transmissions in the VW Group

Verstehen von Maschinenverhalten mit Hilfe von Machine Learning

Adaptable Realization of Industrial Analytics Functions on Edge-Devices using Reconfigurable Architectures

Semi-supervised Case-based Reasoning Approach to Alarm Flood Analysis

Differential Evolution in Production Process Optimization of Cyber Physical Systems

Machine Learning for Cyber Physical Systems - Technologien für die intelligente Automation
Latest Publications