On Data-Preprocessing for Effective Predictive Maintenance on Multi-Purpose Machines. - Lukas Meitz; Michael Heider; Thorsten Schöler; Jörg Hähner (DATA, 2023)

Unsupervised Anomaly Detection in Continuous Integration Pipelines. - Daniel Gerber; Lukas Meitz; Lukas Rosenbauer; Jörg Hähner (ENASE, 2024)

A Taxonomy for Complexity Estimation of Machine Data in Machine Health Applications. - Lukas Meitz; Michael Heider; Thorsten Schöler; Jörg Hähner (ICINCO (1), 2024)

A Literature Review Framework and Open Research Challenges for Predictive Maintenance in industry 4.0. - Lukas Meitz; Julia Senge; Tim Wagenhals; Thorsten Schöler; Jörg Hähner; Janick Edinger; Christian Krupitzer (Comput. Ind. Eng., 2025)