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Continual learning of neural networks for quality prediction in production using memory aware synapses and weight transfer., , and . J. Intell. Manuf., 33 (1): 283-292 (2022)Fault Detection in Railway Switches using Deformable Convolutional Neural Networks., , , , and . INDIN, page 1-6. IEEE, (2021)Sparse Data Enrichment by Context Oriented Model Reduction Techniques in Manufacturing Industry with an Example Laser Drilling Process., , , , , , and . J. ICT Stand., 6 (3): 203-216 (2018)Machine learning-based predictive quality in manufacturing processes.. University of Wuppertal, Germany, (2023)Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning., and . KDD, page 4914-4923. ACM, (2023)Industrial Transfer Learning: Boosting Machine Learning in Production., , and . INDIN, page 274-279. IEEE, (2019)Machine learning and deep learning based predictive quality in manufacturing: a systematic review., and . J. Intell. Manuf., 33 (7): 1879-1905 (2022)Towards a Deep Learning-based Online Quality Prediction System for Welding Processes., , , , , , and . CoRR, (2023)Advanced data enrichment and data analysis in manufacturing industry by an example of laser drilling process., , , , , and . Kaleidoscope, page 1-5. IEEE, (2017)schlably: A Python framework for deep reinforcement learning based scheduling experiments., , , , and . SoftwareX, (May 2023)