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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 ...
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 ...
A digital solution for unlocking the urban mining potential of the residential building stock through the integration of BIM and GIS
(Conference on interdisciplinary and transdisciplinary research for sustainable development, 2022)
The construction industry consumes up to half of the excavated primary resources and
generates one-third of total waste annually, impacting the environment and society. To
reduce this impact, maintaining the primary ...
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 ...