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Now showing items 61-68 of 68
Refinement of Individual Tree Detection Results Obtained from Airborne Laser Scanning Data for a Mixed Natural Forest
(MDPI, 2022)
Numerous semi- and fully-automatic algorithms have been developed for individual tree detection from airborne laser-scanning data, but different rates of falsely detected treetops also accompany their results. In this ...
Experimental results of reinforced concrete frames with masonry infills with and without openings under combined quasi‑static in‑plane and out‑of‑plane seismic loading
(Bulletin of Earthquake Engineering, 2023)
Reinforced concrete (RC) frames with masonry infills can be encountered all over the world, especially in earthquake prone regions. Although masonry infills are usually not considered in the design process, in the case of ...
Instance-based transfer learning for soil organic carbon estimation
(Frontiers in Environmental Science, 2022)
Soil organic carbon (SOC) is a vital component for sustainable agricultural
production. This research investigates the transfer learning-based neural
network model to improve classical machine learning estimation of ...
Numerical analysis of the in-plane behaviour of decoupled masonry infilled RC frames
(Engineering Structures, 2022)
Damage of reinforced concrete (RC) frames with masonry infill walls has been observed after many earthquakes. Brittle behaviour of the masonry infills in combination with the ductile behaviour of the RC frames makes infill ...
Flat slab response for seismic and cyclic actions prediction with numerical models
(Engineering Structures, 2023)
As an outcome of a recent European research project, the modelling of the response of flat slab structures for seismic and cyclic loading was the object of a blind competition. No other blind tests are available in the ...
Economic assessment of nature-based solutions to reduce flood risk and enhance co-benefits
(Elsevier, 2024)
Flooding is expected to increase due to climate change, urbanisation, and land use change. To address this issue, Nature-Based Solutions (NBSs) are often adopted as innovative and sustainable flood risk management methods. ...
An Evaluation of Image Velocimetry Techniques under Low Flow Conditions and High Seeding Densities Using Unmanned Aerial Systems
(MDPI, 2020)
Image velocimetry has proven to be a promising technique for monitoring river flows using remotely operated platforms such as Unmanned Aerial Systems (UAS). However, the application of various image velocimetry algorithms ...
Failure Conditions Assessment of Complex Water Systems Using Fuzzy Logic
(Springer Link, 2023)
Climate change, energy transition, population growth and other natural and anthropogenic impacts, combined with outdated (unfashionable) infrastructure, can force Dam and Reservoir Systems (DRS) operation outside of the ...