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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 ...
Geodetic deformation monitoring of the factory facility for waste water treatment
(Proceedeeng of the 7th International Conference “Civil Engineering – Science and Practice”, GNP 2020, Kolašin, Montenegro, 2020)
U deformacionoj analizi, zasnovanoj na geodetskim mjerenjima u različitim vremenskim periodima, nastali pomaci i deformacije izgrađenih objekata otkrivaju se i utvrđuju korišćenjem metoda deformacione (statističke) analize. ...
GNSS Time Series as a Tool for Seismic Activity Analysis Related to Infrastructure Utilities
(Springer, Cham, 2020)
GNSS technology tracks the movements of the Earth’s crust and its deformation with high accuracy over shorter spatial and temporal periods. Time series of GNSS coordinates are commonly used for geophysical research and ...
Inspection of RCF rail defects – Review of NDT methods
(Academic Press, 2023)
Rail inspection research is a substantive topic for the railway industry. Management of rolling contact fatigue rail defects is crucial for transport safety worldwide because uncontrolled development of these defects could ...
Rapid earthquake loss assessment based on machine learning and representative sampling
(Earthquake Spectra, 2021)
This paper proposes a new framework for rapid earthquake loss assessment based on a machine learning damage classification model and a representative sampling algorithm. A Random Forest classification model predicts a ...
Detection and In-Depth Analysis of Causes of Delay in Construction Projects: Synergy between Machine Learning and Expert Knowledge
(Sustainability, 2022)
Due to numerous reasons, construction projects often fail to achieve the planned duration. Detecting causes of delays (CoD) is the first step in eliminating or mitigating potential delays in future projects. The goal of ...
Failure Conditions Assessment of Complex Water Systems Using Fuzzy Logic
(Springer Link, 2023)
Climate change, energy transition, population growth and other natural and anthropogenic impacts, combined with outdated (unfashionable) infrastructure, can force Dam and Reservoir Systems (DRS) operation outside of the ...
Determinations of the preliminary coordinates for the new GNSS permanent station network in Serbia
(SGEM, 51 Alexander Malinov blvd, Sofia, 1712, Bulgaria, 2022)
The new network of permanent GNSS (Global Navigation Satellite System) stations should be established by the end of this year. At the moment, 18 permanent stations are already established. All stations coordinates must be ...
Long-term rockslope monitoring and rockfall prediction
(International Association for Engineering Geology and the Environment, 2021)