Nils Thielen



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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Optimizing Machine Learning Performance via Dataset Generation for X-ray Image Classification (2024) Mahr F, Schmidt K, Thielen N, Sindel T, Franke J Conference contribution A process model for systematically setting up the data basis for data-driven projects in manufacturing (2023) Meier S, Klarmann S, Thielen N, Pfefferer C, Kuhn M, Franke J Journal article Development and validation of a digital twin framework for SMT manufacturing (2023) Seidel R, Rachinger B, Thielen N, Schmidt K, Meier S, Franke J Journal article Analysis of the Suitability of Inkjet-Printed Ag-Particle-Filled Inks for Use in Connections of Fine-Pitch Electrical Components (2023) Voigt C, Petersen M, Thielen N, Utsch D, Häußler F, Kirchberger M, Franke J Conference contribution, Conference Contribution 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