Cloud-Based Automated Design and Additive Manufacturing: A Usage Data-Enabled Paradigm Shift. - Dirk Lehmhus; Thorsten Wuest; Stefan Wellsandt; Stefan Bosse; Toshiya Kaihara; Klaus-Dieter Thoben; Matthias Busse (Sensors, 2015)

Towards Large-Scale Material-Integrated Computing: Self-Adaptive Materials and Agents. - Stefan Bosse; Dirk Lehmhus (FAS*W@SASO/ICCAC, 2017)

Material-integrated cluster computing in self-adaptive robotic materials using mobile multi-agent systems. - Stefan Bosse; Dirk Lehmhus (Clust. Comput., 2019)

Integrating Electronic Components, Sensors and Actuators in Cast Metal Components: An Overview of the State of the Art. - Dirk Lehmhus; Thomas Rahn; Christoph Pille; Matthias Busse (SYSINT, 2022)

Automated Detection of hidden Damages and Impurities in Aluminum Die Casting Materials and Fibre-Metal Laminates using Low-quality X-ray Radiography, Synthetic X-ray Data Augmentation by Simulation, and Machine Learning. - Stefan Bosse; Dirk Lehmhus (CoRR, 2023)

Automated Porosity Characterization for Aluminum Die Casting Materials Using X-ray Radiography, Synthetic X-ray Data Augmentation by Simulation, and Machine Learning. - Stefan Bosse; Dirk Lehmhus; Sanjeev Kumar (Sensors, 2024)