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Determination of temperature stresses in CWR based on measured rail surface temperatures
(Elsevier, 2021)
The main aim of conducted research is determination of temperature stresses due to the uneven temperature
distribution in CWR. This paper presents a methodology for determination of temperature stresses
in CWR based on ...
A comparison of tools and techniques for stabilising unmanned aerial system (UAS) imagery for surface flow observations
(Copernicus, EGU, 2021)
While the availability and affordability of unmanned aerial systems (UASs) has led to the rapid development of remote sensing applications in hydrology and hydrometry, uncertainties related to such measurements must be ...
Wastewater-based epidemiology in countries with poor wastewater treatment — Epidemiological indicator function of SARS-CoV-2 RNA in surface waters
(Elsevier B.V., 2022)
Wastewater-based epidemiology (WBE) surveillance of COVID-19 and other future outbreaks is
a challenge for developing countries as most households are not connected to a sewerage system.
In December 2019, SARS-CoV-2 RNA ...
Chebyshev polynomials and r-circulant matrices
(Applied Mathematics and Computation, 2022)
This paper connects two attractive topics in applied mathematics, r-circulant matrices and the
Chebyshev polynomials. The r-circulant matrices whose entries are the Chebyshev polynomials
of the first or second kind are ...
A multi-fidelity wind surface pressure assessment via machine learning: A high-rise building case
(Elsevier, 2023)
Computational fluid dynamics (CFD) represents an attractive tool for estimating wind pressures and wind loads on high-rise buildings. The CFD analyses can be conducted either by low-fidelity simulations (RANS) or by ...
Practical ANN prediction models for the axial capacity of square CFST columns
(Springer, 2023)
In this study, two machine-learning algorithms based on the artificial neural network
(ANN) model are proposed to estimate the ultimate compressive strength of square
concrete-filled steel tubular columns. The development ...
Future Drought Propagation through the Water-Energy-Food-Ecosystem Nexus – a Nordic Perspective
(Elsevier, 2022)
Droughts can affect a multitude of public and private sectors, with impacts developing slowly over time. While droughts are traditionally quantified in relation to the hydrological components of the water cycle that they ...
Transfer learning approach based on satellite image time series for the crop classification problem
(Springer, 2023)
This paper presents a transfer learning approach to the crop classification problem based on time series of images from the Sentinel-2 dataset labeled for two regions: Brittany (France) and Vojvodina (Serbia). During ...
Progressive failure analysis of open-hole composite laminates using FLWT-SCB prediction model
(Elsevier, 2022)
This paper presents the original incorporation of the smeared crack band (SCB) damage model within the full layerwise theory (FLWT) framework, to contribute to the increase of the computational efficiency of the progressive ...
Uni- and multivariate bias adjustment of climate model simulations in Nordic catchments: Effects on hydrological signatures relevant for water resources management in a changing climate
(Elsevier, 2023)
Hydrological climate-change-impact studies depend on climatic variables simulated by climate models. Due to parametrization and numerous simplifications, however, climate-model outputs come with systematic biases compared ...