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Nils Thielen
List of publications:
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Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS)
Publications
(26)
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Journal article
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Attention-based Image Compression in Sensor Assembly (2022)
Meier S, Erkan A, Thielen N, Klarmann S, Franke J
Conference contribution
Machine Learning Based Quality Prediction for Solder Paste Dispensing in Electronics Production (2022)
Thielen N, Pan W, Piechulek N, Voigt C, Meier S, Schmidt K, Franke J
Conference contribution
Multi-Model Machine Learning based Industrial Vision Framework for Assembly Part Quality Control (2022)
Schwab M, Madeline-Derou C, Klarmann S, Thielen N, Meier S, Franke J, Chintanippu S, Stork W
Conference contribution
Trustworthiness of machine learning models in manufacturing applications using the example of electronics manufacturing processes (2022)
Seidel R, Schmidt K, Thielen N, Franke J
Conference contribution
Machine Learning Approach towards Quality Control of Aerosol-Jet Printed Polymer Optical Waveguides Material (2021)
Hamjah MK, Thielen N, Hagelloch JE, Franke J
Conference contribution
An Automated Optical Inspection System for PIP Solder Joint Classification Using Convolutional Neural Networks (2021)
Schmidt K, Rauchensteiner D, Voigt C, Thielen N, Bönig J, Beitinger G, Franke J
Conference contribution, Conference Contribution
Clustering of Image Data to Enhance Machine Learning Based Quality Control in THT Manufacturing (2021)
Thielen N, Jiang Z, Schmidt K, Seidel R, Voigt C, Reinhardt A, Franke J
Conference contribution
Enhanced X-Ray Inspection of Solder Joints in SMT Electronics Production using Convolutional Neural Networks (2020)
Schmidt K, Thielen N, Voigt C, Seidel R, Franke J, Milde Y, Bonig J, Beitinger G
Conference contribution
Data Mining System Architecture for Industrial Internet of Things in Electronics Production (2020)
Seidel R, Hassan Amada M, Fuchs J, Thielen N, Schmidt K, Voigt C, Franke J
Conference contribution
Development and Test of a Data Framework for Prediction of Soldering Quality in Selective Wave Soldering Applying K-Nearest Neighbors (2020)
Seidel R, Thielen N, Schmidt K, Voigt C, Franke J
Conference contribution
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