Oliver Niggemann – författare
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12 produkter
12 produkter
522 kr
Skickas inom 5-8 vardagar
588 kr
Skickas inom 5-8 vardagar
IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency
Häftad, Engelska, 2020
529 kr
Skickas inom 5-8 vardagar
IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency
Inbunden, Engelska, 2020
597 kr
Skickas inom 5-8 vardagar
Del 18 - Technologien für die intelligente Automation
Machine Learning for Cyber-Physical Systems
Selected papers from the International Conference ML4CPS 2023
Häftad, Engelska, 2024
432 kr
Skickas inom 10-15 vardagar
This open access proceedings presents new approaches to Machine Learning for Cyber-Physical Systems, experiences and visions. Cyber-physical systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models.
Machine Learning for Cyber Physical Systems
Selected papers from the International Conference ML4CPS 2015
Häftad, Engelska, 2016
1 101 kr
Skickas inom 10-15 vardagar
The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Lemgo, October 1-2, 2015. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.
Machine Learning for Cyber Physical Systems
Selected papers from the International Conference ML4CPS 2016
Häftad, Engelska, 2016
1 648 kr
Skickas inom 10-15 vardagar
The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, September 29th, 2016. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.
Del 8 - Technologien für die intelligente Automation
IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency
Intelligent Methods for the Factory of the Future
Häftad, Engelska, 2018
1 069 kr
Skickas inom 10-15 vardagar
This open access work presents selected results from the European research and innovation project IMPROVE which yielded novel data-based solutions to enhance machine reliability and efficiency in the fields of simulation and optimization, condition monitoring, alarm management, and quality prediction.
Del 9 - Technologien für die intelligente Automation
Machine Learning for Cyber Physical Systems
Selected papers from the International Conference ML4CPS 2018
Häftad, Engelska, 2018
538 kr
Skickas inom 10-15 vardagar
This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models.
Del 11 - Technologien für die intelligente Automation
Machine Learning for Cyber Physical Systems
Selected papers from the International Conference ML4CPS 2017
Häftad, Engelska, 2019
538 kr
Skickas inom 10-15 vardagar
The work presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Lemgo, October 25th-26th, 2017. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.
Del 13 - Technologien für die intelligente Automation
Machine Learning for Cyber Physical Systems
Selected papers from the International Conference ML4CPS 2020
Häftad, Engelska, 2020
432 kr
Skickas inom 10-15 vardagar
This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models.
312 kr
Skickas inom 3-6 vardagar