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IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency (Hardcover): Peter Schuller,... IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency (Hardcover)
Peter Schuller, Oliver Niggemann
R1,339 Discovery Miles 13 390 Ships in 10 - 15 working days
Machine Learning for Cyber Physical Systems (Hardcover): Oliver Niggemann, Christian Kuhnert, Jurgen Beyerer Machine Learning for Cyber Physical Systems (Hardcover)
Oliver Niggemann, Christian Kuhnert, Jurgen Beyerer
R1,344 Discovery Miles 13 440 Ships in 10 - 15 working days
Machine Learning for Cyber Physical Systems - Selected papers from the International Conference ML4CPS 2017 (Paperback, 1st ed.... Machine Learning for Cyber Physical Systems - Selected papers from the International Conference ML4CPS 2017 (Paperback, 1st ed. 2020)
Jurgen Beyerer, Alexander Maier, Oliver Niggemann
R1,644 Discovery Miles 16 440 Ships in 10 - 15 working days

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.

Machine Learning for Cyber Physical Systems - Selected papers from the International Conference ML4CPS 2016 (Paperback, 1st ed.... Machine Learning for Cyber Physical Systems - Selected papers from the International Conference ML4CPS 2016 (Paperback, 1st ed. 2017)
Jurgen Beyerer, Oliver Niggemann, Christian Kuhnert
R4,555 Discovery Miles 45 550 Ships in 10 - 15 working days

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.

Machine Learning for Cyber Physical Systems - Selected papers from the International Conference ML4CPS 2015 (Paperback, 1st ed.... Machine Learning for Cyber Physical Systems - Selected papers from the International Conference ML4CPS 2015 (Paperback, 1st ed. 2016)
Oliver Niggemann, Jurgen Beyerer
R3,232 Discovery Miles 32 320 Ships in 10 - 15 working days

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 2020 (Paperback, 1st ed.... Machine Learning for Cyber Physical Systems - Selected papers from the International Conference ML4CPS 2020 (Paperback, 1st ed. 2021)
Jurgen Beyerer, Alexander Maier, Oliver Niggemann
R1,399 Discovery Miles 13 990 Ships in 10 - 15 working days

This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS - Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. 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.

IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency - Intelligent Methods for the... IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency - Intelligent Methods for the Factory of the Future (Paperback, 1st ed. 2018)
Oliver Niggemann, Peter Schuller
R2,873 Discovery Miles 28 730 Ships in 10 - 15 working days

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.

Machine Learning for Cyber Physical Systems - Selected papers from the International Conference ML4CPS 2018 (Paperback, 1st ed.... Machine Learning for Cyber Physical Systems - Selected papers from the International Conference ML4CPS 2018 (Paperback, 1st ed. 2019)
Jurgen Beyerer, Christian Kuhnert, Oliver Niggemann
R1,644 Discovery Miles 16 440 Ships in 10 - 15 working days

This Open Access proceedings 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, October 23-24, 2018. 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 (Paperback): Oliver Niggemann, Christian Kuhnert, Jurgen Beyerer Machine Learning for Cyber Physical Systems (Paperback)
Oliver Niggemann, Christian Kuhnert, Jurgen Beyerer
R1,022 Discovery Miles 10 220 Ships in 10 - 15 working days
IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency (Paperback): Peter Schuller,... IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency (Paperback)
Peter Schuller, Oliver Niggemann
R1,017 Discovery Miles 10 170 Ships in 10 - 15 working days
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