M. Kröger

Deep learning and conventional machine learning for image- based in-situ fault detection during laser welding: A compara- tive study

A. Gillner, C. Knaak, P. Abels, 2021 .

LISSU: Continuous Monitoring of SOA Communication with Constraint-Based Validation

S. Decker, Benedikt Heinrichs, M. Kröger, 2022, SN Computer Science.

LISSU: Integrating Semantic Web Concepts into SOA Frameworks

Stefan Decker, Johannes Lipp, Moritz Kröger, 2021, ICEIS.

Deep learning-based semantic segmentation for in-process monitoring in laser welding applications

Peter Abels, Christian Knaak, Moritz Kröger, 2019, Optical Engineering + Applications.

A Spatio-Temporal Ensemble Deep Learning Architecture for Real-Time Defect Detection during Laser Welding on Low Power Embedded Computing Boards

Arnold Gillner, Peter Abels, Christian Knaak, 2021, Sensors.

A Conceptual Model for Digital Shadows in Industry and Its Application

Bernhard Rumpe, Matthias Jarke, Günther Schuh, 2021, ER.

Machine learning as a comparative tool to determine the relevance of signal features in laser welding

Ulrich Thombansen, Christian Knaak, Peter Abels, 2018 .

Deep Learning and Conventional Machine Learning for Image-Based in-Situ Fault Detection During Laser Welding: A Comparative Study

C Knaak, M Kröger, F Schulze, 2021 .