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Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning

Yazar

Wuest, Thorsten. author.

http://dx.doi.org/10.1007/978-3-319-17611-6

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Electronic Resources

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Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine

Designing with Computational Intelligence

Yazar

Nedjah, Nadia. editor.

https://doi.org/10.1007/978-3-319-44735-3

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Electronic Resources

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Networks -- Mole Features Extraction for a Melanoma Recognition System -- Human-Machine Musical Composition

Advances in Production Management Systems. Production Management for the Factory of the Future IFIP WG 5.7 International Conference, APMS 2019, Austin, TX, USA, September 1–5, 2019, Proceedings, Part I

Yazar

Ameri, Farhad. editor.

https://doi.org/10.1007/978-3-030-30000-5

Format:

Electronic Resources

Alıntı:

manufacturing; collaborative technoloy; applications of machine learning in production management; and

Advances in Production Management Systems. Towards Smart Production Management Systems IFIP WG 5.7 International Conference, APMS 2019, Austin, TX, USA, September 1–5, 2019, Proceedings, Part II

Yazar

Ameri, Farhad. editor.

https://doi.org/10.1007/978-3-030-29996-5

Format:

Electronic Resources

Alıntı:

manufacturing; collaborative technoloy; applications of machine learning in production management; and

The Internet of Things in the Industrial Sector Security and Device Connectivity, Smart Environments, and Industry 4.0

Yazar

Mahmood, Zaigham. editor.

https://doi.org/10.1007/978-3-030-24892-5

Format:

Electronic Resources

Alıntı:

real-time data. The underlying technologies include distributed computing, machine learning, artificial

Proceedings of International Conference on ICT for Sustainable Development ICT4SD 2015 Volume 1

Yazar

Satapathy, Suresh Chandra. editor.

http://dx.doi.org/10.1007/978-981-10-0129-1

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Electronic Resources

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Comparative Analysis of Feature Selection Methods and Associated Machine Learning Algorithms on Wisconsin

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