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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 ...
Research in computing‑intensive simulations for nature‑oriented civil‑engineering and related scientific fields, using machine learning and big data: an overview of open problems
(Springer, 2023)
This article presents a taxonomy and represents a repository of open problems in computing for numerically and logically intensive problems in a number of disciplines that have to synergize for the best performance of ...
Snow Cover Estimation Using Sentinel-2 High Spatial Resolution Data. A Case Study: National Park Šar Planina (Serbia)
(Springer, Cham, 2022)
Remote sensing, presented in the form of high-resolution satellite images, is essential in monitoring snow cover and the state of the environment. Due to the increase in the spatial resolution of the images, the Sentinel-2 ...
Ground Surface Subsidence Monitoring Using Sentinel-1 in the “Kostolac” Open Pit Coal Mine
(MDPI, 2023)
Open pit coal mining affects surrounding populated areas, resulting in terrain surface deformation. Surface deformation should be monitored as often as possible to control deformations and prevent potential incidents. This ...
Refinement of Individual Tree Detection Results Obtained from Airborne Laser Scanning Data for a Mixed Natural Forest
(MDPI, 2022)
Numerous semi- and fully-automatic algorithms have been developed for individual tree detection from airborne laser-scanning data, but different rates of falsely detected treetops also accompany their results. In this ...
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 ...
Mobile laser scanning for detailed digital topographic mapping / Мобилно ласерско скенирање за детаљно дигитално топографско картирање
(University of Banja Luka Faculty of Architecture, Civil Engineering and Geodesy, 2022)
Mobile Laser Scanning (MLS) is a technique characterized by high data acquisition efficiency and
level of detail. However, a lot of information contained in the LiDAR point cloud is only implicitly
available. Therefore, ...
Kongres metrologa 2022 - Naučni odbor
(Kongres metrologa 2022, 2022)
Društvo metrologa je formirano u cilju objedinjavanja aktivnosti svih metrologa, pružanju pomoći prilikom njihovog rada i međusobne razmene iskustava.
Misija Društva metrologa je da okuplja i podstiče stručnjake koji ...
Quantifying tall structure tilting trend through TLS-based 3D parametric modelling
(Elsevier, 2022)
Geodetic monitoring of a tall structure means employing various methods of measurement and data processing for assessing its verticality. Terrestrial laser scanning (TLS) is a method of collecting lots of quality spatial ...