Predicting thermal response of bridges using regression models derived from measurement histories R Kromanis, P Kripakaran Computers & Structures 136, 64-77, 2014 | 131 | 2014 |
Support vector regression for anomaly detection from measurement histories R Kromanis, P Kripakaran Advanced Engineering Informatics 27 (4), 486-495, 2013 | 96 | 2013 |
Long-term structural health monitoring of the Cleddau bridge: Evaluation of quasi-static temperature effects on bearing movements R Kromanis, P Kripakaran, B Harvey Structure and Infrastructure Engineering 12 (10), 1342-1355, 2016 | 75 | 2016 |
SHM of bridges: characterising thermal response and detecting anomaly events using a temperature-based measurement interpretation approach R Kromanis, P Kripakaran Journal of Civil Structural Health Monitoring 6, 237-254, 2016 | 52 | 2016 |
Data-driven approaches for measurement interpretation: analysing integrated thermal and vehicular response in bridge structural health monitoring R Kromanis, P Kripakaran Advanced Engineering Informatics 34, 46-59, 2017 | 51 | 2017 |
Vision-based measurements of deformations and cracks for RC structure tests X Ji, Z Miao, R Kromanis Engineering Structures 212, 110508, 2020 | 47 | 2020 |
A multiple camera position approach for accurate displacement measurement using computer vision R Kromanis, P Kripakaran Journal of Civil Structural Health Monitoring 11 (3), 661-678, 2021 | 44 | 2021 |
Measuring structural deformations in the laboratory environment using smartphones R Kromanis, Y Xu, D Lydon, J Martinez del Rincon, A Al-Habaibeh Frontiers in Built Environment 5, 44, 2019 | 35 | 2019 |
Bridge damage detection approach using a roving camera technique D Lydon, M Lydon, R Kromanis, CZ Dong, N Catbas, S Taylor Sensors 21 (4), 1246, 2021 | 25 | 2021 |
Low cost vision-based systems using smartphones for measuring deformation in structures for condition monitoring and asset management R Kromanis, A Al-Habaibeh 8th International Conference on Structural Health Monitoring of Intelligent …, 2017 | 21 | 2017 |
Performance of signal processing techniques for anomaly detection using a temperature-based measurement interpretation approach R Kromanis, P Kripakaran Journal of Civil Structural Health Monitoring 11, 15-34, 2021 | 19 | 2021 |
Structural health monitoring of short to medium span bridges in the United Kingdom JMW Brownjohn, P Kripakaran, B Harvey, R Kromanis, P Jones, ... Structural Monitoring and Maintenance 3 (3), 259, 2016 | 17 | 2016 |
Dynamic testing and analysis of the world's first metal 3D printed bridge Z Wynne, C Buchanan, P Kyvelou, L Gardner, R Kromanis, T Stratford, ... Case Studies in Construction Materials 17, e01541, 2022 | 15 | 2022 |
Energy investigation framework: Understanding buildings from an energy perspective view AS Galadanci, A Ianakiev, R Kromanis, J Robinson Journal of Building Engineering 28, 101046, 2020 | 14 | 2020 |
A low-cost robotic camera system for accurate collection of structural response R Kromanis, C Forbes Inventions 4 (3), 47, 2019 | 13 | 2019 |
The effect of temperature variation on bridges—a literature review S Borah, A Al-Habaibeh, R Kromanis Energy and Sustainable Futures: Proceedings of 2nd ICESF 2020, 207-212, 2021 | 12 | 2021 |
Damage detection techniques for structural health monitoring of bridges from computer vision derived parameters CB Obiechefu, R Kromanis Structural Monitoring and Maintenance 8 (1), 91-110, 2021 | 11 | 2021 |
Structural performance evaluation of bridges: characterizing and integrating thermal response R Kromanis PQDT-UK & Ireland, 2015 | 11 | 2015 |
Use of a roving computer vision system to compare anomaly detection techniques for health monitoring of bridges D Lydon, R Kromanis, M Lydon, J Early, S Taylor Journal of Civil Structural Health Monitoring 12 (6), 1299-1316, 2022 | 10 | 2022 |
Condition assessment of structures using smartphones: a position independent multi-epoch imaging approach R Kromanis, H Liang 9th European Workshop on Structural Health Monitoring Series (EWSHM), Manchester, 2018 | 10 | 2018 |