| Real-time dynamic strain sensing in optical fibers using artificial neural networks S Liehr, LA Jäger, C Karapanagiotis, S Münzenberger, S Kowarik Optics express 27 (5), 7405-7425, 2019 | 49 | 2019 |
| Fast fitting of reflectivity data of growing thin films using neural networks A Greco, V Starostin, C Karapanagiotis, A Hinderhofer, A Gerlach, ... Applied Crystallography 52 (6), 1342-1347, 2019 | 41 | 2019 |
| Distributed humidity fiber-optic sensor based on BOFDA using a simple machine learning approach C Karapanagiotis, K Hicke, A Wosniok, K Krebber Optics Express 30 (8), 12484-12494, 2022 | 23 | 2022 |
| Machine learning approaches in Brillouin distributed fiber optic sensors C Karapanagiotis, K Krebber Sensors 23 (13), 6187, 2023 | 16 | 2023 |
| Time-efficient convolutional neural network-assisted Brillouin optical frequency domain analysis C Karapanagiotis, A Wosniok, K Hicke, K Krebber Sensors 21 (8), 2724, 2021 | 15 | 2021 |
| Machine learning assisted BOFDA for simultaneous temperature and strain sensing in a standard optical fiber C Karapanagiotis, K Hicke, K Krebber Optics Express 31 (3), 5027-5041, 2023 | 11 | 2023 |
| Machine learning predictions of surface migration barriers in nucleation and non-equilibrium growth T Martynec, C Karapanagiotis, SHL Klapp, S Kowarik Communications materials 2 (1), 90, 2021 | 11 | 2021 |
| A collection of machine learning assisted distributed fiber optic sensors for infrastructure monitoring C Karapanagiotis, K Hicke, K Krebber tm-Technisches Messen 90 (3), 177-195, 2023 | 10 | 2023 |
| Distributed fiber optic sensors for structural health monitoring of composite pressure vessels C Karapanagiotis, M Schukar, K Krebber tm-Technisches Messen 91 (3-4), 168-179, 2024 | 8 | 2024 |
| Evaluation of the generalization performance of a CNN-assisted BOFDA system C Karapanagiotis Sensors and Measuring Systems; 21th ITG/GMA-Symposium, 1-4, 2022 | 4 | 2022 |
| Temperature and humidity discrimination in Brillouin distributed fiber optic sensing using machine learning algorithms C Karapanagiotis, K Hicke, K Krebber Optical Sensing and Detection VII 12139, 213-219, 2022 | 3 | 2022 |
| Towards predictive maintenance of hydrogen pressure vessels based on multi-sensor data C Karapanagiotis, J Heimann, E Duffner, A Charmi, M Schukar, ... Research and Review Journal of Nondestructive Testing (ReJNDT), 1-8, 2024 | 1 | 2024 |
| Machine learning for strain, temperature and humidity discrimination in Brillouin optical frequency domain analysis C Karapanagiotis, K Krebber Optical Fiber Sensors, Tu3. 11, 2023 | 1 | 2023 |
| Technisches Messen: Distributed fiber optic sensors for structural health monitoring of composite pressure vessels C Karapanagiotis, M Schukar, K Krebber De Gruyter, 2024 | | 2024 |
| Monitoring of composite pressure vessels using surface applied distributed fiber optic sensors C Karapanagiotis, M Schukar, M Breithaupt, K Krebber Proceedings of the 20th Sensors & their Applications Conference, 1-4, 2024 | | 2024 |
| How structural health monitoring can be embedded in a digital quality infrastructure: an example. J Heimann, A Charmi, C Karapanagiotis, S Hashemi, J Prager Proceedings of the 11th European Workshop on Structural Health Monitoring, 1-7, 2024 | | 2024 |
| Structural health monitoring of hydrogen pressure vessels using distributed fiber optic sensing C Karapanagiotis, M Schukar, M Breithaupt, E Duffner, A Ulbricht, ... Proceedings of the 11th European Workshop on Structural Health Monitoring, 1-7, 2024 | | 2024 |
| Verteilte faseroptische Sensoren zur Zustandsüberwachung von Verbundwerkstoff-Druckbehältern C Karapanagiotis, M Schukar, K Krebber Technisches Messen, 1-12, 2024 | | 2024 |
| Eine Sammlung durch Maschinelles Lernen unterstützter Verteilter Faseroptischer Sensoren für Infrastrukturmonitoring C Karapanagiotis, K Hicke, K Krebber tm-Technisches Messen, 1-19, 2023 | | 2023 |
