IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency: Intelligent Methods for the Factory of the Future
Author:   Oliver Niggemann ,  Peter Schüller
Publisher:   Springer Fachmedien Wiesbaden
Edition:   1st ed. 2018
Volume:   8
ISBN:  

9783662578049


Pages:   129
Publication Date:   31 August 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency: Intelligent Methods for the Factory of the Future


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Author:   Oliver Niggemann ,  Peter Schüller
Publisher:   Springer Fachmedien Wiesbaden
Imprint:   Springer Vieweg
Edition:   1st ed. 2018
Volume:   8
Weight:   0.454kg
ISBN:  

9783662578049


ISBN 10:   3662578042
Pages:   129
Publication Date:   31 August 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Prof. Dr. Oliver Niggemann is Professor for Artificial Intelligence in Automation. His research interests are in the fields of machine learning and data analysis for Cyber-Physical Systems and in the fields of planning and diagnosis of distributed systems. He is a board member of the research institute inIT and deputy director at the Fraunhofer Application Center Industrial Automation INA located in Lemgo. Dr. Peter Schüller is postdoctoral researcher at Technische Universität Wien. His research interests are hybrid reasoning systems that combine Knowledge Representation and Machine Learning and applications in the fields of Cyber-Physical systems and Natural Language Processing.

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