Bernd Hofmann
Towards transparent and data-driven fault detection in manufacturing: A case study on univariate, discrete time series (2026)
Hofmann B, Bründl P, Nguyen HG, Franke J
Unpublished / Preprint
Machine learning-based prediction of quality characteristics in joining processes to minimize destructive testing: A case study on crimp connections (2025)
Hofmann B, Regenhardt K, Bründl P, Nguyen HG, Belagiannis V, Franke J, Risch F
Journal article
Enhancing Crimp Curve Monitoring in Wiring Harness Production: A Machine Learning Approach with Emphasis on Diverse Data (2024)
Hofmann B, Scheck A, Nguyen HG, Meiners M, Franke J
Conference contribution
A multi-perspective deep learning approach for optical inspection of crimp connections (2024)
Scheck A, Hofmann B, Nguyen HG, Franke J
Conference contribution
Ganzheitliche und auf maschinellen Lernverfahren basierende Qualitätsüberwachung (2023)
Nguyen HG, Scheck A, Hofmann B, Meiners M, Neubauer S, Schäfer A, Franke J
Journal article