Aretz, C.M.: Konzept zur Einbindung von Natural Language Processing in Lifecycle-Management Applikationen. TU Dortmund University, Department IT in Production and Logistics, master thesis, 2025.
Arora, S.-J.; Rabe, M.: Approach to Reference Models for Building Performance Simulation: Establishing a common Understanding. Springer Nature Computer Science 4(2023) article 267.
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Arora, S.-J.: Rabe, M.: Predictive Maintenance: Assessment of Potentials for Residential Heating Systems. International Journal Computer Integrated Manufacturing; 2023, DOI: 10.1080/0951192X.2023.2204471.
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Arora, S.-J.; Weiss, F.; Bräunig, J.; Erkel, S.; Mensing, M.; Wilde, A.: Smarte HeizungsANIaGenOptimierung - ögP SHANGO. Methodik und erste Ergebnisse. In: 32. VDI-Fachtagung Technische Zuverlässigkeit 2023. Nürtingen, April 26th-27th 2023, pp. 24-38.
Arora, S.-J.: Referenzmodell zur Zuverlässigkeitsprognose von Heizsystemen basierend auf Test- und Felddaten. In: Rabe, M.; Scheidler, A.-A. (eds.): Drei Dutzend Jahre Simulationstechnik - Festkolloquium September 2022. Göttingen: Cuvillier 2022, pp. 37-38.
Arora, S.-J.; Cecolini; C.; Rabe, M.: Approach to Reference Models for Building Performance Simulation. In: Pires, L.F.; Hammoudi, S.; Seidewitz, E. (eds.): Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development (MODELSWARD) 2022. Virtual Conference, 6th-8th February 2022, pp. 271-278.
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Arora,S.-J.; Ebbecke, C.;Rabe, M.; Fisch. J.: Methodology for the Assessment of Potentials, Selection, and Design of Predictive Maintenance Solutions. Procedia CIRP 104 (2021) 708-713.
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