Detecting district heating leaks in thermal imagery: Comparison of anomaly detection methods
Vollmer, E.; Ruck, J.; Volk, R.; Schultmann, F.
2024. Automation in Construction, 168 (Part A), Art.-Nr.: 105709. doi:10.1016/j.autcon.2024.105709  

Detecting District Heating Leaks in Thermal Imagery: Comparison of Anomaly Detection Methods - Source Code and Datasets
Ruck, J.; Vollmer, E.; Vogl, M.; Volk, R.
2024, Oktober 2. doi:10.5281/zenodo.11085776 

Comparative Study of Federated Learning Frameworks NVFlare and Flower for Detecting Thermal Bridges in Urban Environments
Duda, L. J.; Alibabaei, K. F.; Vollmer, E.; Klug, L.; Benz, M.; Kozlov, V.; Rebekka Volk; Götz, M.; Schultmann, F.; Streit, A.
2024, September 3. EGI Conference (2024), Lecce, Italien, 30. September–4. Oktober 2024  

How Does Feature Engineering Impact UAV-based Multispectral Semantic Segmentation? An RGB and Thermal Image Ablation Study
Vollmer, E.; Benz, M.; Kahn, J.; Klug, L.; Volk, R.; Schultmann, F.; Götz, M.
2024, Juni 12. Helmholtz Artificial Intelligence Conference (Helmholtz AI 2024), Düsseldorf, Deutschland, 12.–14. Juni 2024  

Federated Learning for Urban Energy Efficiency: Detecting Thermal with UAV-based Imaging and AI
Duda, L. J.; Alibabaei, K.; Vollmer, E.; Klug, L.; Benz, M.; Kozlov, V.; Volk, R.; Goetz, M.; Schultmann, F.; Streit, A.
2024, Juni 12. Helmholtz Artificial Intelligence Conference (Helmholtz AI 2024), Düsseldorf, Deutschland, 12.–14. Juni 2024  

AI in multispectral image analysis: Implementing a deep learning model for the segmentation of common thermal urban features to assist in the automation of infrastructure-related maintenance
Vollmer, E.; Klug, L.; Volk, R.; Schultmann, F.
2024, März 21. 4th Artificial Intelligence in Architecture, Engineering and Construction Conference (2024), Helsinki, Finnland, 20.–21. März 2024  

AI4EOSC - D6.2 Intermediate status report about integration of pilot applications
Kozlov, V.; Sainz-Pardo, J.; Berberi, L.; Alibabaei, K.; Vollmer, E.; Błaszczak, M.; Krzyżanek, M.; Smok, J.; Bartok, J.; Sisan, P.; Papadopoulos, G.; Izquierdo, P.
2024. Zenodo. doi:10.5281/zenodo.10729327 

UAV-based Thermography: Using AI with Multispectral Data
Vollmer, E.
2023, Dezember 7. ANERIS Workshops on AI Basics for Image Processing (2023), Online, 28. November–7. Dezember 2023  

Automatic analysis of UAS-based thermal images to detect leakages in district heating systems: Source code and exemplary dataset
Vollmer, E.; Volk, R.; Vogl, M.
2023, November 13. doi:10.5281/zenodo.7851725 

D6.1 : Analysis of user applications, collection of requirements
Berberi, L.; Heredia, I.; Kozlov, V.; Vollmer, E.; Sainz-Pardo, J.; Bartok, J.; Fojud, A.; Blaszczak, M.; Rausch, A.; Alibabaei, K.
2023. Zenodo. doi:10.5281/zenodo.7635453 

Automatic analysis of UAS-based thermal images to detect leakages in district heating systems
Vollmer, E.; Volk, R.; Schultmann, F.
2023. International Journal of Remote Sensing, 31 S. doi:10.1080/01431161.2023.2242586  

Ergebnisse einer Machbarkeitsstudie für ganzheitliches Betonrecycling
Bruckschlögl, S.; Beuchle, G.; Vollmer, E.; Patarca, H. Petrillo; Volk, R.; Schultmann, F.; Dehn, F.
2023. Bauen mit Beton im Kreislauf - Recycling, Re-Use und Ressourcenschonung : 19. Symposium Baustoffe und Bauwerkserhaltung, Karlsruher Institut für Technologie (KIT), 9. März 2023, 21–36, KIT Scientific Publishing  

Investigating the Quality of UAV-Based Images for the Thermographic Analysis of Buildings
Mayer, Z.; Epperlein, A.; Vollmer, E.; Volk, R.; Schultmann, F.
2023. Remote Sensing, 15 (2), Art.-Nr.: 301. doi:10.3390/rs15020301