Machine-learning based process monitoring for automated composites manufacturing

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Machine-learning based process monitoring for automated composites manufacturing ; day:30 ; month:12 ; year:2023 ; pages:1-16
Journal of intelligent manufacturing ; (30.12.2023), 1-16

Creator: Mujtaba, Ahmed
Islam, Faisal
Kaeding, Patrick
Lindemann, Thomas
Gangadhara Prusty, B.

Contributor: SpringerLink (Online service)

DOI: 10.1007/s10845-023-02282-2

URN: urn:nbn:de:101:1-2024031312294276687550

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:52 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Mujtaba, Ahmed
Islam, Faisal
Kaeding, Patrick
Lindemann, Thomas
Gangadhara Prusty, B.
SpringerLink (Online service)

Other Objects (12)

Machine-learning reprogrammable metasurface imager

A pilot study of machine-learning based automated planning for primary brain tumours

Machine-learning techniques for geometry optimization

Ultra-fast interpretable machine-learning potentials

Machine‐Learning Spectral Indicators of Topology

Machine-learning potentials for crystal defects

Ultra-fast interpretable machine-learning potentials

Machine-Learning Applications in Thrombosis and Hemostasis

Machine‐Learning Microstructure for Inverse Material Design

Polymers and composites manufacturing

Arbeitspapier

Optimal targeting in fundraising: A machine-learning approach

Arbeitspapier

Optimal Targeting in Fundraising: A Machine-Learning Approach

Machine-learning reprogrammable metasurface imager

A pilot study of machine-learning based automated planning for primary brain tumours

Machine-learning techniques for geometry optimization

Ultra-fast interpretable machine-learning potentials

Machine‐Learning Spectral Indicators of Topology

Machine-learning potentials for crystal defects

Ultra-fast interpretable machine-learning potentials

Machine-Learning Applications in Thrombosis and Hemostasis

Machine‐Learning Microstructure for Inverse Material Design

Polymers and composites manufacturing

Arbeitspapier

Optimal targeting in fundraising: A machine-learning approach

Arbeitspapier

Optimal Targeting in Fundraising: A Machine-Learning Approach

Machine-learning reprogrammable metasurface imager

A pilot study of machine-learning based automated planning for primary brain tumours

Machine-learning techniques for geometry optimization

Ultra-fast interpretable machine-learning potentials

Machine‐Learning Spectral Indicators of Topology

Machine-learning potentials for crystal defects

Ultra-fast interpretable machine-learning potentials

Machine-Learning Applications in Thrombosis and Hemostasis

Machine‐Learning Microstructure for Inverse Material Design

Polymers and composites manufacturing

Arbeitspapier

Optimal targeting in fundraising: A machine-learning approach

Arbeitspapier

Optimal Targeting in Fundraising: A Machine-Learning Approach

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Machine-learning based process monitoring for automated composites manufacturing

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Machine-learning reprogrammable metasurface imager

A pilot study of machine-learning based automated planning for primary brain tumours

Machine-learning techniques for geometry optimization

Ultra-fast interpretable machine-learning potentials

Machine‐Learning Spectral Indicators of Topology

Machine-learning potentials for crystal defects

Ultra-fast interpretable machine-learning potentials

Machine-Learning Applications in Thrombosis and Hemostasis

Machine‐Learning Microstructure for Inverse Material Design

Polymers and composites manufacturing

Optimal targeting in fundraising: A machine-learning approach

Optimal Targeting in Fundraising: A Machine-Learning Approach

Machine-learning reprogrammable metasurface imager

A pilot study of machine-learning based automated planning for primary brain tumours

Machine-learning techniques for geometry optimization

Ultra-fast interpretable machine-learning potentials

Machine‐Learning Spectral Indicators of Topology

Machine-learning potentials for crystal defects

Ultra-fast interpretable machine-learning potentials

Machine-Learning Applications in Thrombosis and Hemostasis

Machine‐Learning Microstructure for Inverse Material Design

Polymers and composites manufacturing

Optimal targeting in fundraising: A machine-learning approach

Optimal Targeting in Fundraising: A Machine-Learning Approach

Machine-learning reprogrammable metasurface imager

A pilot study of machine-learning based automated planning for primary brain tumours

Machine-learning techniques for geometry optimization

Ultra-fast interpretable machine-learning potentials

Machine‐Learning Spectral Indicators of Topology

Machine-learning potentials for crystal defects

Ultra-fast interpretable machine-learning potentials

Machine-Learning Applications in Thrombosis and Hemostasis

Machine‐Learning Microstructure for Inverse Material Design

Polymers and composites manufacturing

Optimal targeting in fundraising: A machine-learning approach

Optimal Targeting in Fundraising: A Machine-Learning Approach

Related objects

Reset password