[HTML][HTML] Application of automation for in-line quality inspection, a zero-defect manufacturing approach

V Azamfirei, F Psarommatis, Y Lagrosen - Journal of Manufacturing …, 2023 - Elsevier
Contemporary manufacturing must prioritise the sustainability of its manufacturing processes
and systems. Zero Defect Manufacturing (ZDM) focusses on minimising waste of any kind …

Automatic vision-based online inspection system for broken-filament of carbon fiber with multiscale feature learning

D Li, S Hua, Z Li, X Gong, J Wang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article aims at solving the problem of broken-filament online detection and tracking
during the process of carbon fiber production. Owing to the complex background and unique …

Learning classifier systems for self-explaining socio-technical-systems

M Heider, H Stegherr, R Nordsieck… - arXiv preprint arXiv …, 2022 - arxiv.org
In socio-technical settings, operators are increasingly assisted by decision support systems.
By employing these, important properties of socio-technical systems such as self-adaptation …

Assessing model requirements for explainable AI: A template and exemplary case study

M Heider, H Stegherr, R Nordsieck, J Hähner - Artificial Life, 2023 - direct.mit.edu
In sociotechnical settings, human operators are increasingly assisted by decision support
systems. By employing such systems, important properties of sociotechnical systems, such …

Weighted mutation of connections to mitigate search space limitations in cartesian genetic programming

H Cui, D Pätzel, A Margraf, J Hähner - Proceedings of the 17th ACM …, 2023 - dl.acm.org
This work presents and evaluates a novel modification to existing mutation operators for
Cartesian Genetic Programming (CGP). We discuss and highlight a so far unresearched …

[PDF][PDF] Data augmentation for semantic segmentation in the context of carbon fiber defect detection using adversarial learning

S Mertes, A Margraf, C Kommer, S Geinitz… - 2020 - opus.bibliothek.uni-augsburg.de
Computer vision systems are popular tools for monitoring tasks in highly specialized
production environments. The training and configuration, however, still represents a time …

Evolving processing pipelines for industrial imaging with cartesian genetic programming

A Margraf, H Cui, A Stein… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The reconfiguration of machine vision systems heavily depends on the collection and
availability of large datasets, rendering them inflexible and vulnerable to even minor …

Design of estimators for restoration of images degraded by haze using genetic programming

JE Hernandez-Beltran, VH Diaz-Ramirez… - Swarm and evolutionary …, 2019 - Elsevier
Restoring hazy images is challenging since it must account for several physical factors that
are related to the image formation process. Existing analytical methods can only provide …

Toward an organic computing approach to automated design of processing pipelines

A Stein, A Margraf, J Moroskow… - … on Architecture of …, 2018 - ieeexplore.ieee.org
This paper aims to propose a novel Organic Computing concept to dealing with the overall
issue of automated design of processing pipelines. It is outlined how several methods …

Refining mutation variants in Cartesian genetic programming

H Cui, A Margraf, J Hähner - International Conference on Bioinspired …, 2022 - Springer
In this work, we improve upon two frequently used mutation algorithms and therefore
introduce three refined mutation strategies for Cartesian Genetic Programming. At first, we …