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Calculating the differences of VTEC values obtained by altimetric and GNSS observations in coastal areas
(SurveyTaylor & Frencis, 2022)
The difference between the VTEC values obtained from the Global Navigation Satellite System
(GNSS) and satellite altimetry is much more noticeable over the ocean and the sea due to less
coverage of the GNSS observations. ...
Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains
(Springer, 2023)
This article describes a teaching strategy that synergizes computing and management, aimed at the running of complex projects in industry and academia, in the areas of civil engineering, physics, geosciences, and a number ...
AI in Agriculture
(1st Serbian International Conference on Applied Artificial Intelligence (SICAAI), Kragujevac, Serbia, 2022)
Soil organic carbon represents the main nutrient source for crop yields, which is of great importance to agricultural production. This research investigates the usage of a transfer learning-based neural network model to ...
The Development of Land Readjustment Models in Serbia and South-East Europe
(MDPI, 2022)
Land readjustment (LR) is increasingly applied as a tool of urban policy implementation in many countries of the world. In Serbia, LR is a new tool that is being introduced into the legal system and into planning practice, ...
Implementation of Land Readjustment in Serbia – Based on Experiences in the City of Bor
(Faculty of Civil Engineering and Architecture, University of Nis, 2022)
The paper presents the process of implementing land readjustmentin the Republic of Serbia from the initial thinking, through the intensification of research and pilot projects to the first projects that are implemented in ...
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 ...
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 ...
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 ...
Impact of precipitation and human activities on suspended sediment transport load in the Velika Morava River Basin (Serbia)
(Arabian Journal of Geosciences, 2022)
Sediment transport time series have shown a severe change in the suspended sediment load transported by the Velika Morava River (Republic of Serbia) during the last few decades. The research objectives of this study were ...
Permanent GNSS monitoring of landslide Umka
(University of Banja Luka Faculty of Architecture, Civil Engineering and Geode, 2020)
The Umka landslide is one of the biggest inhabited active landslides in Serbia. The Umka landslide activity has been monitored for a period longer than 85 years, by various geotechnical and geodetic techniques. Since 2010, ...