-
approach underpinned by digital solutions is recommended for automated change detection. Our project aims to develop an integrative RAAC data monitoring and management strategy that enables proactive risk
-
) enhance understanding of the degradation processes; (ii) investigate inspection and condition assessment strategies; and (iii) develop modelling techniques, leveraging machine learning and artificial
-
stable isotope methods to study water balance using deuterium oxide. This studentship is funded by the Leicester Biomedical Research Centre which is a collaboration between Loughborough University
-
comparative study allows for improved understanding of the effectiveness of education and decision making in the context of climate related flooding, and will lead to the identification of approaches for a
-
This project aims to develop advanced optical methods for measurement within the combustion environment. The project will be conducted within the state-of-the-art NCCAT labs with a focus on
-
Rationale Flooding stands as the most prevalent natural hazard. However, whilst substantial research effort has been reported in the last decade to develop high-performance physics-based models
-
for mapping, risk assessment and real-time forecasting of surface water flooding from intense rainfall. The project will deliver the following key research tasks: Develop physis-informed DL models