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3D Cadastral Data in The Process of Urban Planning
(Faculty of Civil Engineering and Architecture, University of Nis, 2022)
Cadastral data are very important in the process of urban planning. Moreover, cadastral data present a spatial base for urban planning decisions. Over the last few decades, research on 3D cadastres have been performed ...
One algorithm for testing annulling of mixed trigonometric polynomial functions on boundary points
(TELFOR, ETF, Bulevar kralja Aleksandra 73, 2022)
This paper considers one problem of modern automated
theorem provers. While there are many different numerical
methods for computation of real roots of polynomials, theorem
provers require higher level of assurances of ...
Pre-failure deformation monitoring as rockfall prediction tool
(IOP Publishing, 2021)
In this article, we are elaborating an example of predictive rockfall assessment by
using Terrestrial Laser Scanning (TLS) in monitoring a road cut, hosted in flysch rock formation,
near Ljig in Serbia. A sequence of ...
Influence of the solar hydrogen Lya line on the GNSS signal delay in the ionospheric D-region
(Astronomical Institute of the Slovak Academy of Sciences, 2022)
Recent research indicates that the influence of the ionospheric D-region on the propagation of satellite signals cannot be ignored during the intense X-radiation emitted during solar X-ray flares. In this paper, we investigate ...
A spatiotemporal ensemble machine learning framework for generating land use/land cover time-series maps for Europe (2000–2019) based on LUCAS, CORINE and GLAD Landsat
(PeerJ, 2022)
A spatiotemporal machine learning framework for automated prediction and analysis of long-term Land Use/Land Cover dynamics is presented. The framework includes: (1) harmonization and preprocessing of spatial and spatiotemporal ...