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Prikaz rezultata 31-40 od 113
SoilGrids250m: Global gridded soil information based on machine learning
(Public Library of Science, 2017)
This paper describes the technical development and accuracy assessment of the most recent and improved version of the SoilGrids system at 250m resolution (June 2016 update). SoilGrids provides global predictions for standard ...
New Downscaling Approach Using ESA CCI SM Products for Obtaining High Resolution Surface Soil Moisture
(MDPI, 2020)
ESA CCI SM products have provided remotely-sensed surface soil moisture (SSM) content with the best spatial and temporal coverage thus far, although its output spatial resolution of 25 km is too coarse for many regional ...
A New Approach in Regression Analysis for Modeling Adsorption Isotherms
(Scientific World Journal, 2014)
Numerous regression approaches to isotherm parameters estimation appear in the literature. The real insight into the proper modeling pattern can be achieved only by testing methods on a very big number of cases. Experimentally, ...
Soil type classification and estimation of soil properties using support vector machines
(Geoderma, 2010)
Quantitative techniques for prediction and classification in soil survey are developing rapidly. The paper introduces application of Support Vector Machines in the estimate of values of soil properties and soil type ...
Bridge flutter derivatives based on computed, validated pressure fields
(Elsevier, 2012)
This paper presents the results of numerical investigations of bridge aeroelasticity. In particular static
coefficients and instationary flutter derivatives for a symmetric bridge deck section using the Unsteady
Reynol ...
Recent trends in daily rainfall extremes over Montenegro (1951-2010)
(Copernicus GmbH, 2015)
More intense rainfall may cause a range of negative impacts upon society and the environment. In this study we analysed trends in extreme ETCCDI (Expert Team on Climate Change Detection and Indices) rainfall indices in ...
Modeling Urban Land Use Changes Using Support Vector Machines
(Blackwell Publishing Ltd, 2016)
Support Vector Machines (SVM) is a machine learning (ML) algorithm commonly applied to the classification of remotely sensing data and more recently for modeling land use changes. However, in most geospatial applications ...
Static behaviour of bolted shear connectors with mechanical coupler embedded in concrete
(Techno Press, 2018)
The research of shear connectors composed from mechanical couplers with rebar anchors, embedded in concrete, and steel bolts, as a mean of shear transfer in composite connections is presented in the paper. Specific issues ...
New approach: waste materials as sorbents for arsenic removal from water
(Publication Cover Journal of Environmental Engineering, 2010)
The sorption of inorganic arsenic species arsenite and arsenate from aqueous solutions onto steel-mill waste and waste filter sand, under neutral conditions, was investigated in this study. Additionally, the steel-mill ...
Geometric nonlinear analysis of prismatic shells using the semi-analytical finite strip method
(Elsevier Ltd, 2017)
The present study sheds light on geometric nonlinear static analysis of prismatic shells using the semi-analytical finite strip method. A new computational model, which includes a fully nonlinear compound strip with a ...